{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Finetuning a model and using it with LocalAI\n",
"\n",
"This is an example of fine-tuning a LLM model to use with [LocalAI](https://github.com/mudler/LocalAI) written by [@mudler](https://github.com/mudler).\n",
"\n",
"Specifically, this example shows how to use [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) to fine-tune a LLM model to consume with LocalAI as a `gguf` model."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "puRhZeHvuHgB"
},
"source": [
"# Important!\n",
"\n",
"Before starting, make sure you have selected GPU runtime : Runtime -> Change runtime type -> GPU (T4)!"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "xcUAOoASZUV1"
},
"source": [
"Change the model to link to your dataset. Upload the dataset as `output.jsonl` in the root tree and edit the model file (model.yml) with:\n",
"\n",
"```\n",
"# local\n",
"datasets:\n",
" - path: /content/output.jsonl\n",
" ds_type: json\n",
" type: completion\n",
"\n",
"```\n",
"\n",
"A full example:\n",
"\n",
"```yaml\n",
"\n",
"base_model: openlm-research/open_llama_3b_v2\n",
"model_type: LlamaForCausalLM\n",
"tokenizer_type: LlamaTokenizer\n",
"load_in_8bit: false\n",
"load_in_4bit: true\n",
"strict: false\n",
"push_dataset_to_hub: false\n",
"datasets:\n",
" - path: /content/output.jsonl\n",
" ds_type: json\n",
" type: completion\n",
"dataset_prepared_path:\n",
"val_set_size: 0.05\n",
"adapter: qlora\n",
"lora_model_dir:\n",
"sequence_len: 1024\n",
"sample_packing: true\n",
"lora_r: 8\n",
"lora_alpha: 32\n",
"lora_dropout: 0.05\n",
"lora_target_modules:\n",
"lora_target_linear: true\n",
"lora_fan_in_fan_out:\n",
"wandb_project:\n",
"wandb_entity:\n",
"wandb_watch:\n",
"wandb_run_id:\n",
"wandb_log_model:\n",
"output_dir: ./qlora-out\n",
"gradient_accumulation_steps: 1\n",
"micro_batch_size: 2\n",
"num_epochs: 4\n",
"optimizer: paged_adamw_32bit\n",
"torchdistx_path:\n",
"lr_scheduler: cosine\n",
"learning_rate: 0.0002\n",
"train_on_inputs: false\n",
"group_by_length: false\n",
"bf16: false\n",
"fp16: true\n",
"tf32: false\n",
"gradient_checkpointing: true\n",
"early_stopping_patience:\n",
"resume_from_checkpoint:\n",
"local_rank:\n",
"logging_steps: 1\n",
"xformers_attention:\n",
"flash_attention: false\n",
"gptq_groupsize:\n",
"gptq_model_v1:\n",
"warmup_steps: 20\n",
"eval_steps: 0.05\n",
"save_steps:\n",
"debug:\n",
"deepspeed:\n",
"weight_decay: 0.1\n",
"fsdp:\n",
"fsdp_config:\n",
"special_tokens:\n",
" bos_token: \"\"\n",
" eos_token: \"\"\n",
" unk_token: \"\"\n",
"\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "CBVQikr2WiFP",
"outputId": "236f9f0e-b2b5-4ba9-9127-27f804c511db"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cloning into 'axolotl'...\n",
"remote: Enumerating objects: 7525, done.\u001b[K\n",
"remote: Counting objects: 100% (1726/1726), done.\u001b[K\n",
"remote: Compressing objects: 100% (385/385), done.\u001b[K\n",
"remote: Total 7525 (delta 1525), reused 1409 (delta 1319), pack-reused 5799\u001b[K\n",
"Receiving objects: 100% (7525/7525), 2.64 MiB | 10.52 MiB/s, done.\n",
"Resolving deltas: 100% (4854/4854), done.\n",
"Note: switching to '797f3dd1de8fd8c0eafbd1c9fdb172abd9ff840a'.\n",
"\n",
"You are in 'detached HEAD' state. You can look around, make experimental\n",
"changes and commit them, and you can discard any commits you make in this\n",
"state without impacting any branches by switching back to a branch.\n",
"\n",
"If you want to create a new branch to retain commits you create, you may\n",
"do so (now or later) by using -c with the switch command. Example:\n",
"\n",
" git switch -c \n",
"\n",
"Or undo this operation with:\n",
"\n",
" git switch -\n",
"\n",
"Turn off this advice by setting config variable advice.detachedHead to false\n",
"\n",
"HEAD is now at 797f3dd don't train if eval split is too small (#873)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (23.2)\n",
"Obtaining file:///content/axolotl\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting auto-gptq==0.5.1 (from axolotl==0.3.0)\n",
" Downloading auto_gptq-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.8/4.8 MB\u001b[0m \u001b[31m14.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (23.2)\n",
"Collecting peft==0.6.0 (from axolotl==0.3.0)\n",
" Downloading peft-0.6.0-py3-none-any.whl (134 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.9/134.9 kB\u001b[0m \u001b[31m20.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting transformers==4.35.1 (from axolotl==0.3.0)\n",
" Downloading transformers-4.35.1-py3-none-any.whl (7.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.9/7.9 MB\u001b[0m \u001b[31m44.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting bitsandbytes>=0.41.1 (from axolotl==0.3.0)\n",
" Downloading bitsandbytes-0.41.2.post2-py3-none-any.whl (92.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 MB\u001b[0m \u001b[31m9.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting accelerate==0.24.1 (from axolotl==0.3.0)\n",
" Downloading accelerate-0.24.1-py3-none-any.whl (261 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m261.4/261.4 kB\u001b[0m \u001b[31m31.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting addict (from axolotl==0.3.0)\n",
" Downloading addict-2.4.0-py3-none-any.whl (3.8 kB)\n",
"Collecting fire (from axolotl==0.3.0)\n",
" Downloading fire-0.5.0.tar.gz (88 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.3/88.3 kB\u001b[0m \u001b[31m13.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: PyYAML>=6.0 in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (6.0.1)\n",
"Collecting datasets>=2.14.0 (from axolotl==0.3.0)\n",
" Downloading datasets-2.15.0-py3-none-any.whl (521 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m521.2/521.2 kB\u001b[0m \u001b[31m51.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting sentencepiece (from axolotl==0.3.0)\n",
" Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m76.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting wandb (from axolotl==0.3.0)\n",
" Downloading wandb-0.16.0-py3-none-any.whl (2.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m90.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting einops (from axolotl==0.3.0)\n",
" Downloading einops-0.7.0-py3-none-any.whl (44 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.6/44.6 kB\u001b[0m \u001b[31m6.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting xformers==0.0.22 (from axolotl==0.3.0)\n",
" Downloading xformers-0.0.22-cp310-cp310-manylinux2014_x86_64.whl (211.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.6/211.6 MB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting optimum==1.13.2 (from axolotl==0.3.0)\n",
" Downloading optimum-1.13.2.tar.gz (300 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m301.0/301.0 kB\u001b[0m \u001b[31m37.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting hf_transfer (from axolotl==0.3.0)\n",
" Downloading hf_transfer-0.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.9/3.9 MB\u001b[0m \u001b[31m48.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting colorama (from axolotl==0.3.0)\n",
" Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n",
"Requirement already satisfied: numba in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (0.58.1)\n",
"Collecting numpy>=1.24.4 (from axolotl==0.3.0)\n",
" Downloading numpy-1.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m18.2/18.2 MB\u001b[0m \u001b[31m57.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting bert-score==0.3.13 (from axolotl==0.3.0)\n",
" Downloading bert_score-0.3.13-py3-none-any.whl (61 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m61.1/61.1 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting evaluate==0.4.0 (from axolotl==0.3.0)\n",
" Downloading evaluate-0.4.0-py3-none-any.whl (81 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m81.4/81.4 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting rouge-score==0.1.2 (from axolotl==0.3.0)\n",
" Downloading rouge_score-0.1.2.tar.gz (17 kB)\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (1.11.3)\n",
"Requirement already satisfied: scikit-learn==1.2.2 in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (1.2.2)\n",
"Collecting pynvml (from axolotl==0.3.0)\n",
" Downloading pynvml-11.5.0-py3-none-any.whl (53 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.1/53.1 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting art (from axolotl==0.3.0)\n",
" Downloading art-6.1-py3-none-any.whl (599 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m599.8/599.8 kB\u001b[0m \u001b[31m38.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting fschat==0.2.29 (from axolotl==0.3.0)\n",
" Downloading fschat-0.2.29-py3-none-any.whl (200 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m200.7/200.7 kB\u001b[0m \u001b[31m21.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-4.4.1-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m70.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: tensorboard in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (2.14.1)\n",
"Collecting s3fs (from axolotl==0.3.0)\n",
" Downloading s3fs-2023.10.0-py3-none-any.whl (28 kB)\n",
"Requirement already satisfied: gcsfs in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (2023.6.0)\n",
"Collecting flash-attn>=2.3.0 (from axolotl==0.3.0)\n",
" Downloading flash_attn-2.3.3.tar.gz (2.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m81.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting deepspeed (from axolotl==0.3.0)\n",
" Downloading deepspeed-0.12.3.tar.gz (1.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m84.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate==0.24.1->axolotl==0.3.0) (5.9.5)\n",
"Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate==0.24.1->axolotl==0.3.0) (2.1.0+cu118)\n",
"Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from accelerate==0.24.1->axolotl==0.3.0) (0.19.3)\n",
"Collecting rouge (from auto-gptq==0.5.1->axolotl==0.3.0)\n",
" Downloading rouge-1.0.1-py3-none-any.whl (13 kB)\n",
"Collecting gekko (from auto-gptq==0.5.1->axolotl==0.3.0)\n",
" Downloading gekko-1.0.6-py3-none-any.whl (12.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.2/12.2 MB\u001b[0m \u001b[31m91.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from auto-gptq==0.5.1->axolotl==0.3.0) (0.4.0)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from auto-gptq==0.5.1->axolotl==0.3.0) (4.66.1)\n",
"Requirement already satisfied: pandas>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from bert-score==0.3.13->axolotl==0.3.0) (1.5.3)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from bert-score==0.3.13->axolotl==0.3.0) (2.31.0)\n",
"Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from bert-score==0.3.13->axolotl==0.3.0) (3.7.1)\n",
"Collecting dill (from evaluate==0.4.0->axolotl==0.3.0)\n",
" Downloading dill-0.3.7-py3-none-any.whl (115 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.3/115.3 kB\u001b[0m \u001b[31m16.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.0->axolotl==0.3.0) (3.4.1)\n",
"Collecting multiprocess (from evaluate==0.4.0->axolotl==0.3.0)\n",
" Downloading multiprocess-0.70.15-py310-none-any.whl (134 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m18.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: fsspec[http]>=2021.05.0 in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.0->axolotl==0.3.0) (2023.6.0)\n",
"Collecting responses<0.19 (from evaluate==0.4.0->axolotl==0.3.0)\n",
" Downloading responses-0.18.0-py3-none-any.whl (38 kB)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from fschat==0.2.29->axolotl==0.3.0) (3.8.6)\n",
"Collecting fastapi (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading fastapi-0.104.1-py3-none-any.whl (92 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.9/92.9 kB\u001b[0m \u001b[31m14.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting httpx (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading httpx-0.25.1-py3-none-any.whl (75 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.0/75.0 kB\u001b[0m \u001b[31m10.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting markdown2[all] (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading markdown2-2.4.10-py2.py3-none-any.whl (39 kB)\n",
"Collecting nh3 (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m82.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: prompt-toolkit>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from fschat==0.2.29->axolotl==0.3.0) (3.0.41)\n",
"Requirement already satisfied: pydantic<2,>=1 in /usr/local/lib/python3.10/dist-packages (from fschat==0.2.29->axolotl==0.3.0) (1.10.13)\n",
"Requirement already satisfied: rich>=10.0.0 in /usr/local/lib/python3.10/dist-packages (from fschat==0.2.29->axolotl==0.3.0) (13.7.0)\n",
"Collecting shortuuid (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading shortuuid-1.0.11-py3-none-any.whl (10 kB)\n",
"Collecting tiktoken (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading tiktoken-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m76.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting uvicorn (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading uvicorn-0.24.0.post1-py3-none-any.whl (59 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m59.7/59.7 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting coloredlogs (from optimum==1.13.2->axolotl==0.3.0)\n",
" Downloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m6.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from optimum==1.13.2->axolotl==0.3.0) (1.12)\n",
"Requirement already satisfied: transformers[sentencepiece]>=4.26.0 in /usr/local/lib/python3.10/dist-packages (from optimum==1.13.2->axolotl==0.3.0) (4.35.2)\n",
"Requirement already satisfied: absl-py in /usr/local/lib/python3.10/dist-packages (from rouge-score==0.1.2->axolotl==0.3.0) (1.4.0)\n",
"Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from rouge-score==0.1.2->axolotl==0.3.0) (3.8.1)\n",
"Requirement already satisfied: six>=1.14.0 in /usr/local/lib/python3.10/dist-packages (from rouge-score==0.1.2->axolotl==0.3.0) (1.16.0)\n",
"Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.2->axolotl==0.3.0) (1.3.2)\n",
"Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.2->axolotl==0.3.0) (3.2.0)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.1->axolotl==0.3.0) (3.13.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.1->axolotl==0.3.0) (2023.6.3)\n",
"Collecting tokenizers<0.15,>=0.14 (from transformers==4.35.1->axolotl==0.3.0)\n",
" Downloading tokenizers-0.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m116.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting torch>=1.10.0 (from accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading torch-2.0.1-cp310-cp310-manylinux1_x86_64.whl (619.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m619.9/619.9 MB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (4.5.0)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (3.2.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (3.1.2)\n",
"Collecting nvidia-cuda-nvrtc-cu11==11.7.99 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.0/21.0 MB\u001b[0m \u001b[31m63.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cuda-runtime-cu11==11.7.99 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m849.3/849.3 kB\u001b[0m \u001b[31m58.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cuda-cupti-cu11==11.7.101 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cuda_cupti_cu11-11.7.101-py3-none-manylinux1_x86_64.whl (11.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.8/11.8 MB\u001b[0m \u001b[31m79.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cudnn-cu11==8.5.0.96 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m557.1/557.1 MB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cublas-cu11==11.10.3.66 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m317.1/317.1 MB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cufft-cu11==10.9.0.58 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux1_x86_64.whl (168.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m168.4/168.4 MB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-curand-cu11==10.2.10.91 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_curand_cu11-10.2.10.91-py3-none-manylinux1_x86_64.whl (54.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.6/54.6 MB\u001b[0m \u001b[31m12.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cusolver-cu11==11.4.0.1 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cusolver_cu11-11.4.0.1-2-py3-none-manylinux1_x86_64.whl (102.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m102.6/102.6 MB\u001b[0m \u001b[31m8.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cusparse-cu11==11.7.4.91 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cusparse_cu11-11.7.4.91-py3-none-manylinux1_x86_64.whl (173.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m173.2/173.2 MB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-nccl-cu11==2.14.3 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_nccl_cu11-2.14.3-py3-none-manylinux1_x86_64.whl (177.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m177.1/177.1 MB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-nvtx-cu11==11.7.91 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_nvtx_cu11-11.7.91-py3-none-manylinux1_x86_64.whl (98 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m98.6/98.6 kB\u001b[0m \u001b[31m13.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting triton==2.0.0 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading triton-2.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (63.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m63.3/63.3 MB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (67.7.2)\n",
"Requirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (0.41.3)\n",
"Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (3.27.7)\n",
"Collecting lit (from triton==2.0.0->torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading lit-17.0.5.tar.gz (153 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m153.0/153.0 kB\u001b[0m \u001b[31m20.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: pyarrow>=8.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.14.0->axolotl==0.3.0) (9.0.0)\n",
"Collecting pyarrow-hotfix (from datasets>=2.14.0->axolotl==0.3.0)\n",
" Downloading pyarrow_hotfix-0.5-py3-none-any.whl (7.8 kB)\n",
"Collecting ninja (from flash-attn>=2.3.0->axolotl==0.3.0)\n",
" Downloading ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl (307 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.2/307.2 kB\u001b[0m \u001b[31m37.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting hjson (from deepspeed->axolotl==0.3.0)\n",
" Downloading hjson-3.1.0-py3-none-any.whl (54 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.0/54.0 kB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from deepspeed->axolotl==0.3.0) (9.0.0)\n",
"Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from fire->axolotl==0.3.0) (2.3.0)\n",
"Requirement already satisfied: decorator>4.1.2 in /usr/local/lib/python3.10/dist-packages (from gcsfs->axolotl==0.3.0) (4.4.2)\n",
"Requirement already satisfied: google-auth>=1.2 in /usr/local/lib/python3.10/dist-packages (from gcsfs->axolotl==0.3.0) (2.17.3)\n",
"Requirement already satisfied: google-auth-oauthlib in /usr/local/lib/python3.10/dist-packages (from gcsfs->axolotl==0.3.0) (1.0.0)\n",
"Requirement already satisfied: google-cloud-storage in /usr/local/lib/python3.10/dist-packages (from gcsfs->axolotl==0.3.0) (2.8.0)\n",
"Collecting aiofiles<24.0,>=22.0 (from gradio->axolotl==0.3.0)\n",
" Downloading aiofiles-23.2.1-py3-none-any.whl (15 kB)\n",
"Requirement already satisfied: altair<6.0,>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from gradio->axolotl==0.3.0) (4.2.2)\n",
"Collecting ffmpy (from gradio->axolotl==0.3.0)\n",
" Downloading ffmpy-0.3.1.tar.gz (5.5 kB)\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting gradio-client==0.7.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.7.0-py3-none-any.whl (302 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m302.7/302.7 kB\u001b[0m \u001b[31m37.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: importlib-resources<7.0,>=1.3 in /usr/local/lib/python3.10/dist-packages (from gradio->axolotl==0.3.0) (6.1.1)\n",
"Requirement already satisfied: markupsafe~=2.0 in /usr/local/lib/python3.10/dist-packages (from gradio->axolotl==0.3.0) (2.1.3)\n",
"Collecting orjson~=3.0 (from gradio->axolotl==0.3.0)\n",
" Downloading orjson-3.9.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (138 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m138.7/138.7 kB\u001b[0m \u001b[31m20.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pillow<11.0,>=8.0 in /usr/local/lib/python3.10/dist-packages (from gradio->axolotl==0.3.0) (9.4.0)\n",
"INFO: pip is looking at multiple versions of gradio to determine which version is compatible with other requirements. This could take a while.\n",
"Collecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-4.4.0-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m84.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.3.0-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m76.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.2.0-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m81.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.1.2-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m83.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.1.1-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m78.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.1.0-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.0.2-py3-none-any.whl (25.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25.3/25.3 MB\u001b[0m \u001b[31m49.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: pip is looking at multiple versions of gradio to determine which version is compatible with other requirements. This could take a while.\n",
" Downloading gradio-4.0.1-py3-none-any.whl (25.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25.3/25.3 MB\u001b[0m \u001b[31m56.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.0.0-py3-none-any.whl (25.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25.3/25.3 MB\u001b[0m \u001b[31m15.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.50.2-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m66.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.6.1 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.6.1-py3-none-any.whl (299 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m299.2/299.2 kB\u001b[0m \u001b[31m33.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting pydub (from gradio->axolotl==0.3.0)\n",
" Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
"Collecting python-multipart (from gradio->axolotl==0.3.0)\n",
" Downloading python_multipart-0.0.6-py3-none-any.whl (45 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.7/45.7 kB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting semantic-version~=2.0 (from gradio->axolotl==0.3.0)\n",
" Downloading semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)\n",
"Collecting websockets<12.0,>=10.0 (from gradio->axolotl==0.3.0)\n",
" Downloading websockets-11.0.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.9/129.9 kB\u001b[0m \u001b[31m18.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: llvmlite<0.42,>=0.41.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba->axolotl==0.3.0) (0.41.1)\n",
"Collecting aiobotocore~=2.7.0 (from s3fs->axolotl==0.3.0)\n",
" Downloading aiobotocore-2.7.0-py3-none-any.whl (73 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.5/73.5 kB\u001b[0m \u001b[31m10.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: pip is looking at multiple versions of s3fs to determine which version is compatible with other requirements. This could take a while.\n",
"Collecting s3fs (from axolotl==0.3.0)\n",
" Downloading s3fs-2023.9.2-py3-none-any.whl (28 kB)\n",
"Collecting aiobotocore~=2.5.4 (from s3fs->axolotl==0.3.0)\n",
" Downloading aiobotocore-2.5.4-py3-none-any.whl (73 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.4/73.4 kB\u001b[0m \u001b[31m8.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting s3fs (from axolotl==0.3.0)\n",
" Downloading s3fs-2023.9.1-py3-none-any.whl (28 kB)\n",
" Downloading s3fs-2023.9.0-py3-none-any.whl (28 kB)\n",
" Downloading s3fs-2023.6.0-py3-none-any.whl (28 kB)\n",
"Requirement already satisfied: grpcio>=1.48.2 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (1.59.2)\n",
"Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (3.5.1)\n",
"Requirement already satisfied: protobuf>=3.19.6 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (3.20.3)\n",
"Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (0.7.2)\n",
"Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (3.0.1)\n",
"Requirement already satisfied: Click!=8.0.0,>=7.1 in /usr/local/lib/python3.10/dist-packages (from wandb->axolotl==0.3.0) (8.1.7)\n",
"Collecting GitPython!=3.1.29,>=1.0.0 (from wandb->axolotl==0.3.0)\n",
" Downloading GitPython-3.1.40-py3-none-any.whl (190 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m190.6/190.6 kB\u001b[0m \u001b[31m26.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting sentry-sdk>=1.0.0 (from wandb->axolotl==0.3.0)\n",
" Downloading sentry_sdk-1.35.0-py2.py3-none-any.whl (248 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m248.6/248.6 kB\u001b[0m \u001b[31m27.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting docker-pycreds>=0.4.0 (from wandb->axolotl==0.3.0)\n",
" Downloading docker_pycreds-0.4.0-py2.py3-none-any.whl (9.0 kB)\n",
"Collecting setproctitle (from wandb->axolotl==0.3.0)\n",
" Downloading setproctitle-1.3.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (30 kB)\n",
"Requirement already satisfied: appdirs>=1.4.3 in /usr/local/lib/python3.10/dist-packages (from wandb->axolotl==0.3.0) (1.4.4)\n",
"Collecting botocore<1.31.18,>=1.31.17 (from aiobotocore~=2.5.4->s3fs->axolotl==0.3.0)\n",
" Downloading botocore-1.31.17-py3-none-any.whl (11.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.1/11.1 MB\u001b[0m \u001b[31m122.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: wrapt<2.0.0,>=1.10.10 in /usr/local/lib/python3.10/dist-packages (from aiobotocore~=2.5.4->s3fs->axolotl==0.3.0) (1.14.1)\n",
"Collecting aioitertools<1.0.0,>=0.5.1 (from aiobotocore~=2.5.4->s3fs->axolotl==0.3.0)\n",
" Downloading aioitertools-0.11.0-py3-none-any.whl (23 kB)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (23.1.0)\n",
"Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (3.3.2)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (6.0.4)\n",
"Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (4.0.3)\n",
"Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (1.9.2)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (1.4.0)\n",
"Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (1.3.1)\n",
"Requirement already satisfied: entrypoints in /usr/local/lib/python3.10/dist-packages (from altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.4)\n",
"Requirement already satisfied: jsonschema>=3.0 in /usr/local/lib/python3.10/dist-packages (from altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (4.19.2)\n",
"Requirement already satisfied: toolz in /usr/local/lib/python3.10/dist-packages (from altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.12.0)\n",
"Collecting gitdb<5,>=4.0.1 (from GitPython!=3.1.29,>=1.0.0->wandb->axolotl==0.3.0)\n",
" Downloading gitdb-4.0.11-py3-none-any.whl (62 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.7/62.7 kB\u001b[0m \u001b[31m10.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from google-auth>=1.2->gcsfs->axolotl==0.3.0) (5.3.2)\n",
"Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from google-auth>=1.2->gcsfs->axolotl==0.3.0) (0.3.0)\n",
"Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.10/dist-packages (from google-auth>=1.2->gcsfs->axolotl==0.3.0) (4.9)\n",
"Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from google-auth-oauthlib->gcsfs->axolotl==0.3.0) (1.3.1)\n",
"Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (1.2.0)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (0.12.1)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (4.44.3)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (1.4.5)\n",
"Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (3.1.1)\n",
"Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.0.1->bert-score==0.3.13->axolotl==0.3.0) (2023.3.post1)\n",
"Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prompt-toolkit>=3.0.0->fschat==0.2.29->axolotl==0.3.0) (0.2.10)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->bert-score==0.3.13->axolotl==0.3.0) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->bert-score==0.3.13->axolotl==0.3.0) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->bert-score==0.3.13->axolotl==0.3.0) (2023.7.22)\n",
"Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich>=10.0.0->fschat==0.2.29->axolotl==0.3.0) (3.0.0)\n",
"Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich>=10.0.0->fschat==0.2.29->axolotl==0.3.0) (2.16.1)\n",
"INFO: pip is looking at multiple versions of tokenizers to determine which version is compatible with other requirements. This could take a while.\n",
"Collecting tokenizers<0.15,>=0.14 (from transformers==4.35.1->axolotl==0.3.0)\n",
" Downloading tokenizers-0.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m103.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n",
"Collecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.50.1-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m88.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.50.0-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m37.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.49.0-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m57.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: pip is looking at multiple versions of tokenizers to determine which version is compatible with other requirements. This could take a while.\n",
" Downloading gradio-3.48.0-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m63.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.47.1-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m18.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.6.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.6.0-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.8/298.8 kB\u001b[0m \u001b[31m37.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.47.0-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m98.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n",
" Downloading gradio-3.46.1-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m95.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.5.3 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.5.3-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.4/298.4 kB\u001b[0m \u001b[31m39.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.46.0-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m95.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.45.2-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m28.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.45.1-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m57.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.5.2 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.5.2-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.3/298.3 kB\u001b[0m \u001b[31m37.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.45.0-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m96.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.44.4-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m22.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.5.1 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.5.1-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.2/298.2 kB\u001b[0m \u001b[31m19.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.44.3-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m96.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.5.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.5.0-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.2/298.2 kB\u001b[0m \u001b[31m37.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.44.2-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m91.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.44.1-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m104.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.44.0-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m18.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.43.2-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m67.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.43.1-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m64.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.43.0-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m75.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.42.0-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m16.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.41.2-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m75.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.41.1-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m40.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.41.0-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m25.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.40.1-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m53.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting mdit-py-plugins<=0.3.3 (from gradio->axolotl==0.3.0)\n",
" Downloading mdit_py_plugins-0.3.3-py3-none-any.whl (50 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.5/50.5 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.4.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.4.0-py3-none-any.whl (297 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m297.4/297.4 kB\u001b[0m \u001b[31m32.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.40.0-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m54.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.39.0-py3-none-any.whl (19.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.9/19.9 MB\u001b[0m \u001b[31m67.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.3.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.3.0-py3-none-any.whl (294 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m294.2/294.2 kB\u001b[0m \u001b[31m37.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.38.0-py3-none-any.whl (19.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.8/19.8 MB\u001b[0m \u001b[31m18.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.10 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.10-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m289.0/289.0 kB\u001b[0m \u001b[31m35.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.37.0-py3-none-any.whl (19.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.8/19.8 MB\u001b[0m \u001b[31m90.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.36.1-py3-none-any.whl (19.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.8/19.8 MB\u001b[0m \u001b[31m103.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting websockets>=10.0 (from gradio->axolotl==0.3.0)\n",
" Downloading websockets-12.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (130 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m130.2/130.2 kB\u001b[0m \u001b[31m18.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.7 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.9-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.8/288.8 kB\u001b[0m \u001b[31m32.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.8-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.8/288.8 kB\u001b[0m \u001b[31m27.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.7-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.4/288.4 kB\u001b[0m \u001b[31m36.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.36.0-py3-none-any.whl (19.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.8/19.8 MB\u001b[0m \u001b[31m74.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.35.2-py3-none-any.whl (19.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.7/19.7 MB\u001b[0m \u001b[31m22.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.35.1-py3-none-any.whl (19.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.7/19.7 MB\u001b[0m \u001b[31m52.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.35.0-py3-none-any.whl (19.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.7/19.7 MB\u001b[0m \u001b[31m93.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.34.0-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m92.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.6 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.6-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.3/288.3 kB\u001b[0m \u001b[31m30.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.33.1-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m18.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.4 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.5-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.1/288.1 kB\u001b[0m \u001b[31m34.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.4-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m30.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.33.0-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m95.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.32.0-py3-none-any.whl (19.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.9/19.9 MB\u001b[0m \u001b[31m95.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.31.0-py3-none-any.whl (17.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.4/17.4 MB\u001b[0m \u001b[31m86.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.30.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m73.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.29.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m15.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.1 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.3-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m32.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.2-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m33.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.1-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m34.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.28.3-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m75.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.1.3 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.0-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m30.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.1.4-py3-none-any.whl (286 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m286.7/286.7 kB\u001b[0m \u001b[31m32.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.1.3-py3-none-any.whl (286 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m286.2/286.2 kB\u001b[0m \u001b[31m31.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.28.2-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m68.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.28.1-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m64.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.28.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m98.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.27.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m33.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.26.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m101.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.1.2 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.1.2-py3-none-any.whl (286 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m286.1/286.1 kB\u001b[0m \u001b[31m36.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.25.0-py3-none-any.whl (17.5 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.5/17.5 MB\u001b[0m \u001b[31m101.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.0.8 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.1.0-py3-none-any.whl (24 kB)\n",
" Downloading gradio_client-0.0.10-py3-none-any.whl (23 kB)\n",
" Downloading gradio_client-0.0.9-py3-none-any.whl (23 kB)\n",
" Downloading gradio_client-0.0.8-py3-none-any.whl (20 kB)\n",
"Collecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.24.1-py3-none-any.whl (15.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.7/15.7 MB\u001b[0m \u001b[31m86.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.0.5 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.0.7-py3-none-any.whl (14 kB)\n",
" Downloading gradio_client-0.0.6-py3-none-any.whl (14 kB)\n",
" Downloading gradio_client-0.0.5-py3-none-any.whl (12 kB)\n",
"Collecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.24.0-py3-none-any.whl (15.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.7/15.7 MB\u001b[0m \u001b[31m15.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.23.0-py3-none-any.whl (15.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.8/15.8 MB\u001b[0m \u001b[31m107.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.22.1-py3-none-any.whl (15.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.8/15.8 MB\u001b[0m \u001b[31m91.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.22.0-py3-none-any.whl (15.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.8/15.8 MB\u001b[0m \u001b[31m90.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.21.0-py3-none-any.whl (15.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.8/15.8 MB\u001b[0m \u001b[31m102.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.20.1-py3-none-any.whl (14.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m14.3/14.3 MB\u001b[0m \u001b[31m106.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting pycryptodome (from gradio->axolotl==0.3.0)\n",
" Downloading pycryptodome-3.19.0-cp35-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m92.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting datasets>=2.14.0 (from axolotl==0.3.0)\n",
" Downloading datasets-2.14.7-py3-none-any.whl (520 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m520.4/520.4 kB\u001b[0m \u001b[31m53.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting huggingface-hub (from accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading huggingface_hub-0.17.3-py3-none-any.whl (295 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m295.0/295.0 kB\u001b[0m \u001b[31m32.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: pip is looking at multiple versions of s3fs to determine which version is compatible with other requirements. This could take a while.\n",
"INFO: pip is looking at multiple versions of transformers[sentencepiece] to determine which version is compatible with other requirements. This could take a while.\n",
"Collecting h11>=0.8 (from uvicorn->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting humanfriendly>=9.1 (from coloredlogs->optimum==1.13.2->axolotl==0.3.0)\n",
" Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m319.1 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: anyio<4.0.0,>=3.7.1 in /usr/local/lib/python3.10/dist-packages (from fastapi->fschat==0.2.29->axolotl==0.3.0) (3.7.1)\n",
"Collecting starlette<0.28.0,>=0.27.0 (from fastapi->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading starlette-0.27.0-py3-none-any.whl (66 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.0/67.0 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting typing-extensions (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\n",
"Requirement already satisfied: google-api-core!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5 in /usr/local/lib/python3.10/dist-packages (from google-cloud-storage->gcsfs->axolotl==0.3.0) (2.11.1)\n",
"Requirement already satisfied: google-cloud-core<3.0dev,>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from google-cloud-storage->gcsfs->axolotl==0.3.0) (2.3.3)\n",
"Requirement already satisfied: google-resumable-media>=2.3.2 in /usr/local/lib/python3.10/dist-packages (from google-cloud-storage->gcsfs->axolotl==0.3.0) (2.6.0)\n",
"Collecting httpcore (from httpx->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading httpcore-1.0.2-py3-none-any.whl (76 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.9/76.9 kB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx->fschat==0.2.29->axolotl==0.3.0) (1.3.0)\n",
"Collecting wavedrom (from markdown2[all]->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading wavedrom-2.0.3.post3.tar.gz (137 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.7/137.7 kB\u001b[0m \u001b[31m19.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->optimum==1.13.2->axolotl==0.3.0) (1.3.0)\n",
"Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4.0.0,>=3.7.1->fastapi->fschat==0.2.29->axolotl==0.3.0) (1.1.3)\n",
"Collecting jmespath<2.0.0,>=0.7.1 (from botocore<1.31.18,>=1.31.17->aiobotocore~=2.5.4->s3fs->axolotl==0.3.0)\n",
" Downloading jmespath-1.0.1-py3-none-any.whl (20 kB)\n",
"Collecting urllib3<3,>=1.21.1 (from requests->bert-score==0.3.13->axolotl==0.3.0)\n",
" Downloading urllib3-1.26.18-py2.py3-none-any.whl (143 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m143.8/143.8 kB\u001b[0m \u001b[31m19.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->GitPython!=3.1.29,>=1.0.0->wandb->axolotl==0.3.0)\n",
" Downloading smmap-5.0.1-py3-none-any.whl (24 kB)\n",
"Requirement already satisfied: googleapis-common-protos<2.0.dev0,>=1.56.2 in /usr/local/lib/python3.10/dist-packages (from google-api-core!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5->google-cloud-storage->gcsfs->axolotl==0.3.0) (1.61.0)\n",
"Requirement already satisfied: google-crc32c<2.0dev,>=1.0 in /usr/local/lib/python3.10/dist-packages (from google-resumable-media>=2.3.2->google-cloud-storage->gcsfs->axolotl==0.3.0) (1.5.0)\n",
"Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (2023.11.1)\n",
"Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.31.0)\n",
"Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.12.0)\n",
"Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=10.0.0->fschat==0.2.29->axolotl==0.3.0) (0.1.2)\n",
"Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth>=1.2->gcsfs->axolotl==0.3.0) (0.5.0)\n",
"Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib->gcsfs->axolotl==0.3.0) (3.2.2)\n",
"Collecting svgwrite (from wavedrom->markdown2[all]->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading svgwrite-1.4.3-py3-none-any.whl (67 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.1/67.1 kB\u001b[0m \u001b[31m10.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hBuilding wheels for collected packages: optimum, rouge-score, flash-attn, deepspeed, fire, ffmpy, wavedrom, lit\n",
" Building wheel for optimum (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for optimum: filename=optimum-1.13.2-py3-none-any.whl size=395598 sha256=c50241754999443c85c875c140c77aa5bf3a40f56a5ffd196d1f3c5199609431\n",
" Stored in directory: /root/.cache/pip/wheels/6e/b7/2c/79405d98f0943373d8546daeae25a3d377f7659ca0cbe48699\n",
" Building wheel for rouge-score (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24933 sha256=cc9084a7eefdb136724effd732f6cb7c0fd01f0d7c9e7852043f1cd1d23b45a9\n",
" Stored in directory: /root/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4\n",
" Building wheel for flash-attn (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for flash-attn: filename=flash_attn-2.3.3-cp310-cp310-linux_x86_64.whl size=57075008 sha256=bcb63b64213ab61590b340b77de84e448a442e19c100480895194df39ad7673d\n",
" Stored in directory: /root/.cache/pip/wheels/e5/e6/fa/941802ec61d1afd320d27160ab1db98e6dba65381f84b76d4a\n",
" Building wheel for deepspeed (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for deepspeed: filename=deepspeed-0.12.3-py3-none-any.whl size=1279165 sha256=e678c7b56fa15c9218f88c9a8a48728bee271215c554abcb4049f609e47adb25\n",
" Stored in directory: /root/.cache/pip/wheels/ee/2b/c5/892ceee06964ce8aa2a98d4260848d0d9a3f1e743862e4b45a\n",
" Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for fire: filename=fire-0.5.0-py2.py3-none-any.whl size=116933 sha256=2e829d74a791417c18e5d80016d0125dc65481ae4577bfd4041e51aa64558256\n",
" Stored in directory: /root/.cache/pip/wheels/90/d4/f7/9404e5db0116bd4d43e5666eaa3e70ab53723e1e3ea40c9a95\n",
" Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=dd713b1fe6d28ec101c96dbf7033241901635fcddd42a07d9e97fafada70eca4\n",
" Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n",
" Building wheel for wavedrom (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for wavedrom: filename=wavedrom-2.0.3.post3-py2.py3-none-any.whl size=30053 sha256=65b629500b343fc851f1c23dd2065fa414153974ae25603bba9f99e559ecbf8c\n",
" Stored in directory: /root/.cache/pip/wheels/9c/52/8c/38b454b42f712f325e26f633287484c7dc1ad469e1580c5954\n",
" Building wheel for lit (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for lit: filename=lit-17.0.5-py3-none-any.whl size=93256 sha256=209fa0a842c16d9479d3626694714ebd0b9f4afaaacf487e3fb92d19ecfa9fcf\n",
" Stored in directory: /root/.cache/pip/wheels/1c/87/8e/5a42c0d4be23362b68bbff33b17f3c35a3df44f1cd2f5a24b4\n",
"Successfully built optimum rouge-score flash-attn deepspeed fire ffmpy wavedrom lit\n",
"Installing collected packages: sentencepiece, pydub, ninja, nh3, lit, hjson, ffmpy, bitsandbytes, addict, websockets, urllib3, typing-extensions, svgwrite, smmap, shortuuid, setproctitle, semantic-version, rouge, python-multipart, pynvml, pyarrow-hotfix, orjson, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, numpy, markdown2, jmespath, humanfriendly, hf_transfer, h11, fire, einops, docker-pycreds, dill, colorama, art, aioitertools, aiofiles, wavedrom, uvicorn, starlette, sentry-sdk, rouge-score, nvidia-cusolver-cu11, nvidia-cudnn-cu11, multiprocess, httpcore, gitdb, gekko, coloredlogs, botocore, tiktoken, responses, huggingface-hub, httpx, GitPython, fastapi, aiobotocore, wandb, tokenizers, s3fs, gradio-client, fschat, datasets, transformers, gradio, evaluate, triton, torch, accelerate, peft, xformers, optimum, bert-score, auto-gptq, flash-attn, deepspeed, axolotl\n",
" Attempting uninstall: urllib3\n",
" Found existing installation: urllib3 2.0.7\n",
" Uninstalling urllib3-2.0.7:\n",
" Successfully uninstalled urllib3-2.0.7\n",
" Attempting uninstall: typing-extensions\n",
" Found existing installation: typing_extensions 4.5.0\n",
" Uninstalling typing_extensions-4.5.0:\n",
" Successfully uninstalled typing_extensions-4.5.0\n",
" Attempting uninstall: numpy\n",
" Found existing installation: numpy 1.23.5\n",
" Uninstalling numpy-1.23.5:\n",
" Successfully uninstalled numpy-1.23.5\n",
" Attempting uninstall: huggingface-hub\n",
" Found existing installation: huggingface-hub 0.19.3\n",
" Uninstalling huggingface-hub-0.19.3:\n",
" Successfully uninstalled huggingface-hub-0.19.3\n",
" Attempting uninstall: tokenizers\n",
" Found existing installation: tokenizers 0.15.0\n",
" Uninstalling tokenizers-0.15.0:\n",
" Successfully uninstalled tokenizers-0.15.0\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.35.2\n",
" Uninstalling transformers-4.35.2:\n",
" Successfully uninstalled transformers-4.35.2\n",
" Attempting uninstall: triton\n",
" Found existing installation: triton 2.1.0\n",
" Uninstalling triton-2.1.0:\n",
" Successfully uninstalled triton-2.1.0\n",
" Attempting uninstall: torch\n",
" Found existing installation: torch 2.1.0+cu118\n",
" Uninstalling torch-2.1.0+cu118:\n",
" Successfully uninstalled torch-2.1.0+cu118\n",
" Running setup.py develop for axolotl\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"lida 0.0.10 requires kaleido, which is not installed.\n",
"llmx 0.0.15a0 requires cohere, which is not installed.\n",
"llmx 0.0.15a0 requires openai, which is not installed.\n",
"cupy-cuda11x 11.0.0 requires numpy<1.26,>=1.20, but you have numpy 1.26.2 which is incompatible.\n",
"tensorflow-probability 0.22.0 requires typing-extensions<4.6.0, but you have typing-extensions 4.8.0 which is incompatible.\n",
"torchaudio 2.1.0+cu118 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\n",
"torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\n",
"torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\n",
"torchvision 0.16.0+cu118 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed GitPython-3.1.40 accelerate-0.24.1 addict-2.4.0 aiobotocore-2.5.4 aiofiles-23.2.1 aioitertools-0.11.0 art-6.1 auto-gptq-0.5.1 axolotl-0.3.0 bert-score-0.3.13 bitsandbytes-0.41.2.post2 botocore-1.31.17 colorama-0.4.6 coloredlogs-15.0.1 datasets-2.14.7 deepspeed-0.12.3 dill-0.3.7 docker-pycreds-0.4.0 einops-0.7.0 evaluate-0.4.0 fastapi-0.104.1 ffmpy-0.3.1 fire-0.5.0 flash-attn-2.3.3 fschat-0.2.29 gekko-1.0.6 gitdb-4.0.11 gradio-3.50.2 gradio-client-0.6.1 h11-0.14.0 hf_transfer-0.1.4 hjson-3.1.0 httpcore-1.0.2 httpx-0.25.1 huggingface-hub-0.17.3 humanfriendly-10.0 jmespath-1.0.1 lit-17.0.5 markdown2-2.4.10 multiprocess-0.70.15 nh3-0.2.14 ninja-1.11.1.1 numpy-1.26.2 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 optimum-1.13.2 orjson-3.9.10 peft-0.6.0 pyarrow-hotfix-0.5 pydub-0.25.1 pynvml-11.5.0 python-multipart-0.0.6 responses-0.18.0 rouge-1.0.1 rouge-score-0.1.2 s3fs-2023.6.0 semantic-version-2.10.0 sentencepiece-0.1.99 sentry-sdk-1.35.0 setproctitle-1.3.3 shortuuid-1.0.11 smmap-5.0.1 starlette-0.27.0 svgwrite-1.4.3 tiktoken-0.5.1 tokenizers-0.14.1 torch-2.0.1 transformers-4.35.1 triton-2.0.0 typing-extensions-4.8.0 urllib3-1.26.18 uvicorn-0.24.0.post1 wandb-0.16.0 wavedrom-2.0.3.post3 websockets-11.0.3 xformers-0.0.22\n"
]
}
],
"source": [
"# Install axolotl\n",
"!git clone https://github.com/OpenAccess-AI-Collective/axolotl && cd axolotl && git checkout 797f3dd1de8fd8c0eafbd1c9fdb172abd9ff840a #0.3.0\n",
"!cd axolotl\n",
"!pip install packaging\n",
"!cd axolotl && pip install -e '.[flash-attn,deepspeed]'"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ET82VllsW6gU",
"outputId": "27e4d16a-da64-46ed-b927-ce12b3f9af6d"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accelerate configuration saved at /root/.cache/huggingface/accelerate/default_config.yaml\n"
]
}
],
"source": [
"!accelerate config default"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "n_xquNdQYsMX",
"outputId": "68de83a9-2e5a-49e6-ff06-5013eb085370"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.24.1)\n",
"Requirement already satisfied: bitsandbytes in /usr/local/lib/python3.10/dist-packages (0.41.2.post2)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.26.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.2)\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
"Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0.1)\n",
"Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.0.1)\n",
"Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.17.3)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.13.1)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (4.8.0)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.2.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.99)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.99)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.101)\n",
"Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (8.5.0.96)\n",
"Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.10.3.66)\n",
"Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (10.9.0.58)\n",
"Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (10.2.10.91)\n",
"Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.4.0.1)\n",
"Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.4.91)\n",
"Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.14.3)\n",
"Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.91)\n",
"Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.0.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate) (67.7.2)\n",
"Requirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate) (0.41.3)\n",
"Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (3.27.7)\n",
"Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (17.0.5)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2023.6.0)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2.31.0)\n",
"Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (4.66.1)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (1.26.18)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.7.22)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n",
"/content\n"
]
}
],
"source": [
"!pip install accelerate bitsandbytes\n",
"!pwd"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "IZv_VnRrtTSz",
"outputId": "36439ab2-c4de-46b5-dd36-b90d09db8358"
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import torch\n",
"torch.cuda.is_available()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "9SwNYGmisJU6",
"outputId": "963ffc20-dd38-48e4-f72d-8a4d78e36461"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.35.1)\n",
"Collecting transformers\n",
" Downloading transformers-4.35.2-py3-none-any.whl (7.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.9/7.9 MB\u001b[0m \u001b[31m24.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.13.1)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.17.3)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.26.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
"Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.14.1)\n",
"Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.0)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (2023.6.0)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (4.8.0)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (1.26.18)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.7.22)\n",
"Installing collected packages: transformers\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.35.1\n",
" Uninstalling transformers-4.35.1:\n",
" Successfully uninstalled transformers-4.35.1\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"axolotl 0.3.0 requires transformers==4.35.1, but you have transformers 4.35.2 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed transformers-4.35.2\n"
]
}
],
"source": [
"!pip install --upgrade transformers"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "jCsnQhmave0Z",
"outputId": "6c9f39ef-0e4a-41cb-ee22-8c71438e254e"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE\n",
" Downloading https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.0/flash_attn-2.3.0+cu117torch2.0cxx11abiFALSE-cp310-cp310-linux_x86_64.whl (30.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m30.0/30.0 MB\u001b[0m \u001b[31m46.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (2.0.1)\n",
"Requirement already satisfied: einops in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (0.7.0)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (23.2)\n",
"Requirement already satisfied: ninja in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (1.11.1.1)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (3.13.1)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (4.8.0)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (1.12)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (3.2.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (3.1.2)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.99)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.99)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.101)\n",
"Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (8.5.0.96)\n",
"Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.10.3.66)\n",
"Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (10.9.0.58)\n",
"Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (10.2.10.91)\n",
"Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.4.0.1)\n",
"Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.4.91)\n",
"Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (2.14.3)\n",
"Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.91)\n",
"Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (2.0.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (67.7.2)\n",
"Requirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (0.41.3)\n",
"Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (3.27.7)\n",
"Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (17.0.5)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (2.1.3)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (1.3.0)\n",
"Installing collected packages: flash-attn\n",
" Attempting uninstall: flash-attn\n",
" Found existing installation: flash-attn 2.3.3\n",
" Uninstalling flash-attn-2.3.3:\n",
" Successfully uninstalled flash-attn-2.3.3\n",
"Successfully installed flash-attn-2.3.0\n"
]
}
],
"source": [
"# https://github.com/oobabooga/text-generation-webui/issues/4238\n",
"!pip install https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.0/flash_attn-2.3.0+cu117torch2.0cxx11abiFALSE-cp310-cp310-linux_x86_64.whl"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3xU248nEtTxg"
},
"source": [
"Start the training process (fine-tuning)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "19jClLyTbumJ",
"outputId": "9b74bad8-956d-4434-953a-d5a5be229043"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2023-11-18 10:15:30.581758: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"2023-11-18 10:15:30.581829: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"2023-11-18 10:15:30.581870: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"2023-11-18 10:15:32.302565: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
"/usr/local/lib/python3.10/dist-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations\n",
" warnings.warn(\n",
" dP dP dP \n",
" 88 88 88 \n",
" .d8888b. dP. .dP .d8888b. 88 .d8888b. d8888P 88 \n",
" 88' `88 `8bd8' 88' `88 88 88' `88 88 88 \n",
" 88. .88 .d88b. 88. .88 88 88. .88 88 88 \n",
" `88888P8 dP' `dP `88888P' dP `88888P' dP dP \n",
" \n",
" \n",
"\n",
"\u001b[33m[2023-11-18 10:15:36,028] [WARNING] [axolotl.validate_config:169] [PID:4655] [RANK:0] eval_batch_size != micro_batch_size. This can lead to VRAM instability.\u001b[39m\n",
"[2023-11-18 10:15:36,239] [INFO] [axolotl.normalize_config:128] [PID:4655] [RANK:0] GPU memory usage baseline: 0.000GB (+0.255GB misc)\u001b[39m\n",
"\u001b[33m[2023-11-18 10:15:36,239] [WARNING] [axolotl.scripts.check_accelerate_default_config:343] [PID:4655] [RANK:0] accelerate config file found at /root/.cache/huggingface/accelerate/default_config.yaml. This can lead to unexpected errors\u001b[39m\n",
"\u001b[33m[2023-11-18 10:15:36,239] [WARNING] [axolotl.scripts.check_user_token:355] [PID:4655] [RANK:0] Error verifying HuggingFace token. Remember to log in using `huggingface-cli login` and get your access token from https://huggingface.co/settings/tokens if you want to use gated models or datasets.\u001b[39m\n",
"[2023-11-18 10:15:36,594] [DEBUG] [axolotl.load_tokenizer:100] [PID:4655] [RANK:0] EOS: 2 / \u001b[39m\n",
"[2023-11-18 10:15:36,595] [DEBUG] [axolotl.load_tokenizer:101] [PID:4655] [RANK:0] BOS: 1 / \u001b[39m\n",
"[2023-11-18 10:15:36,595] [DEBUG] [axolotl.load_tokenizer:102] [PID:4655] [RANK:0] PAD: 0 / \u001b[39m\n",
"[2023-11-18 10:15:36,595] [DEBUG] [axolotl.load_tokenizer:103] [PID:4655] [RANK:0] UNK: 0 / \u001b[39m\n",
"[2023-11-18 10:15:36,595] [INFO] [axolotl.load_tokenized_prepared_datasets:147] [PID:4655] [RANK:0] Unable to find prepared dataset in last_run_prepared/5dca4483042d16053f3cd9eeaf5ac8af\u001b[39m\n",
"[2023-11-18 10:15:36,595] [INFO] [axolotl.load_tokenized_prepared_datasets:148] [PID:4655] [RANK:0] Loading raw datasets...\u001b[39m\n",
"[2023-11-18 10:15:36,595] [INFO] [axolotl.load_tokenized_prepared_datasets:153] [PID:4655] [RANK:0] No seed provided, using default seed of 42\u001b[39m\n",
"Map (num_proc=2): 100% 846/846 [00:00<00:00, 991.41 examples/s] \n",
"[2023-11-18 10:15:37,890] [INFO] [axolotl.load_tokenized_prepared_datasets:355] [PID:4655] [RANK:0] merging datasets\u001b[39m\n",
"[2023-11-18 10:15:37,892] [INFO] [axolotl.load_tokenized_prepared_datasets:362] [PID:4655] [RANK:0] Saving merged prepared dataset to disk... last_run_prepared/5dca4483042d16053f3cd9eeaf5ac8af\u001b[39m\n",
"Saving the dataset (1/1 shards): 100% 846/846 [00:00<00:00, 118881.71 examples/s]\n",
"Filter (num_proc=2): 100% 803/803 [00:00<00:00, 3171.26 examples/s]\n",
"Filter (num_proc=2): 100% 43/43 [00:00<00:00, 301.68 examples/s]\n",
"Map (num_proc=2): 100% 803/803 [00:00<00:00, 2783.35 examples/s]\n",
"[2023-11-18 10:15:38,745] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] total_num_tokens: 77893\u001b[39m\n",
"[2023-11-18 10:15:38,753] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] `total_supervised_tokens: 77893`\u001b[39m\n",
"[2023-11-18 10:15:44,265] [INFO] [axolotl.utils.samplers.multipack._len_est:178] [PID:4655] [RANK:0] packing_efficiency_estimate: 1.0 total_num_tokens per device: 77893\u001b[39m\n",
"[2023-11-18 10:15:44,265] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] data_loader_len: 8\u001b[39m\n",
"[2023-11-18 10:15:44,265] [INFO] [axolotl.log:60] [PID:4655] [RANK:0] sample_packing_eff_est across ranks: [0.95084228515625]\u001b[39m\n",
"[2023-11-18 10:15:44,265] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] sample_packing_eff_est: 0.96\u001b[39m\n",
"[2023-11-18 10:15:44,266] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] total_num_steps: 32\u001b[39m\n",
"[2023-11-18 10:15:44,266] [DEBUG] [axolotl.train.log:60] [PID:4655] [RANK:0] loading tokenizer... NousResearch/Llama-2-7b-hf\u001b[39m\n",
"[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:100] [PID:4655] [RANK:0] EOS: 2 / \u001b[39m\n",
"[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:101] [PID:4655] [RANK:0] BOS: 1 / \u001b[39m\n",
"[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:102] [PID:4655] [RANK:0] PAD: 0 / \u001b[39m\n",
"[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:103] [PID:4655] [RANK:0] UNK: 0 / \u001b[39m\n",
"[2023-11-18 10:15:44,630] [DEBUG] [axolotl.train.log:60] [PID:4655] [RANK:0] loading model and peft_config...\u001b[39m\n",
"[2023-11-18 10:15:44,713] [INFO] [axolotl.load_model:201] [PID:4655] [RANK:0] patching _expand_mask\u001b[39m\n",
"Downloading (…)fetensors.index.json: 100% 26.8k/26.8k [00:00<00:00, 34.9MB/s]\n",
"Downloading shards: 0% 0/2 [00:00, ?it/s]\n",
"Downloading (…)of-00002.safetensors: 0% 0.00/9.98G [00:00, ?B/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 0% 21.0M/9.98G [00:00<01:10, 142MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 52.4M/9.98G [00:00<00:46, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 83.9M/9.98G [00:00<00:43, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 115M/9.98G [00:00<00:40, 246MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 147M/9.98G [00:00<00:47, 206MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 2% 178M/9.98G [00:00<00:47, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 2% 210M/9.98G [00:01<00:47, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 2% 241M/9.98G [00:01<00:45, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 3% 273M/9.98G [00:01<01:02, 155MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 3% 304M/9.98G [00:01<00:55, 174MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 3% 336M/9.98G [00:01<00:49, 194MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 4% 367M/9.98G [00:01<00:46, 208MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 4% 398M/9.98G [00:02<00:48, 196MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 4% 430M/9.98G [00:02<00:58, 162MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 451M/9.98G [00:02<01:00, 158MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 482M/9.98G [00:02<00:54, 176MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 503M/9.98G [00:03<02:50, 55.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 535M/9.98G [00:03<02:08, 73.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 6% 556M/9.98G [00:04<01:48, 86.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 6% 587M/9.98G [00:04<01:23, 112MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 6% 619M/9.98G [00:04<01:08, 137MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 650M/9.98G [00:04<00:58, 161MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 682M/9.98G [00:04<01:08, 137MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 703M/9.98G [00:04<01:03, 145MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 724M/9.98G [00:04<00:58, 157MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 744M/9.98G [00:05<00:55, 166MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 8% 776M/9.98G [00:05<00:48, 191MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 8% 807M/9.98G [00:05<01:22, 111MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 8% 839M/9.98G [00:05<01:06, 138MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 9% 870M/9.98G [00:05<00:56, 163MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 9% 902M/9.98G [00:06<00:50, 178MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 9% 933M/9.98G [00:06<00:47, 189MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 10% 965M/9.98G [00:06<00:46, 194MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 10% 996M/9.98G [00:06<00:44, 202MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 10% 1.03G/9.98G [00:06<00:42, 209MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 11% 1.06G/9.98G [00:06<00:41, 216MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 11% 1.09G/9.98G [00:06<00:41, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 11% 1.12G/9.98G [00:07<00:40, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 12% 1.15G/9.98G [00:07<00:38, 231MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 12% 1.18G/9.98G [00:07<00:39, 223MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 12% 1.22G/9.98G [00:07<00:38, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 1.25G/9.98G [00:07<00:38, 227MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 1.28G/9.98G [00:07<00:36, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 1.31G/9.98G [00:07<00:35, 247MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 1.34G/9.98G [00:07<00:36, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 14% 1.37G/9.98G [00:08<00:37, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 14% 1.41G/9.98G [00:08<00:36, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 14% 1.44G/9.98G [00:08<00:36, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 15% 1.47G/9.98G [00:08<00:34, 246MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 15% 1.50G/9.98G [00:08<00:33, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 15% 1.53G/9.98G [00:08<00:33, 250MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 1.56G/9.98G [00:08<00:37, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 1.59G/9.98G [00:09<00:35, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 1.63G/9.98G [00:09<00:34, 240MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 17% 1.66G/9.98G [00:09<00:40, 204MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 17% 1.69G/9.98G [00:09<00:38, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 17% 1.72G/9.98G [00:09<00:37, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 1.75G/9.98G [00:09<00:36, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 1.78G/9.98G [00:09<00:37, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 1.81G/9.98G [00:10<00:35, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 1.85G/9.98G [00:10<00:34, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 19% 1.88G/9.98G [00:10<00:37, 219MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 19% 1.91G/9.98G [00:10<00:35, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 19% 1.94G/9.98G [00:10<00:33, 240MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 20% 1.97G/9.98G [00:10<00:33, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 20% 2.00G/9.98G [00:10<00:32, 245MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 20% 2.03G/9.98G [00:10<00:32, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 21% 2.07G/9.98G [00:11<00:34, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 21% 2.10G/9.98G [00:11<00:34, 232MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 21% 2.13G/9.98G [00:11<00:35, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 22% 2.16G/9.98G [00:11<00:35, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 22% 2.19G/9.98G [00:11<00:36, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 22% 2.22G/9.98G [00:11<00:36, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 23% 2.25G/9.98G [00:11<00:35, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 23% 2.29G/9.98G [00:12<00:34, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 23% 2.32G/9.98G [00:12<00:32, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 2.35G/9.98G [00:12<00:32, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 2.38G/9.98G [00:12<00:32, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 2.41G/9.98G [00:12<00:31, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 2.44G/9.98G [00:12<00:30, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 2.47G/9.98G [00:12<00:32, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 2.51G/9.98G [00:13<00:31, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 2.54G/9.98G [00:13<00:29, 249MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 26% 2.57G/9.98G [00:13<00:36, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 26% 2.60G/9.98G [00:13<00:37, 197MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 26% 2.63G/9.98G [00:13<00:35, 206MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 27% 2.66G/9.98G [00:15<02:34, 47.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 27% 2.69G/9.98G [00:15<01:55, 63.2MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 27% 2.73G/9.98G [00:15<01:28, 81.6MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 28% 2.76G/9.98G [00:15<01:11, 101MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 28% 2.79G/9.98G [00:16<00:58, 124MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 28% 2.82G/9.98G [00:16<00:49, 146MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 29% 2.85G/9.98G [00:16<00:45, 158MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 29% 2.88G/9.98G [00:16<00:39, 180MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 29% 2.92G/9.98G [00:16<00:35, 196MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 2.95G/9.98G [00:16<00:34, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 2.98G/9.98G [00:16<00:32, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 3.01G/9.98G [00:16<00:30, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 3.04G/9.98G [00:17<00:29, 232MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 31% 3.07G/9.98G [00:17<00:29, 232MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 31% 3.10G/9.98G [00:17<00:29, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 31% 3.14G/9.98G [00:17<00:28, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 32% 3.17G/9.98G [00:17<00:28, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 32% 3.20G/9.98G [00:17<00:28, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 32% 3.23G/9.98G [00:17<00:28, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 33% 3.26G/9.98G [00:17<00:28, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 33% 3.29G/9.98G [00:18<00:27, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 33% 3.32G/9.98G [00:18<00:26, 247MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 3.36G/9.98G [00:18<00:26, 250MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 3.39G/9.98G [00:18<00:26, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 3.42G/9.98G [00:18<00:25, 259MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 35% 3.45G/9.98G [00:18<00:25, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 35% 3.48G/9.98G [00:18<00:26, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 35% 3.51G/9.98G [00:18<00:25, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 3.54G/9.98G [00:19<00:25, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 3.58G/9.98G [00:19<00:25, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 3.61G/9.98G [00:19<00:24, 259MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 3.64G/9.98G [00:19<00:24, 256MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 37% 3.67G/9.98G [00:19<00:24, 260MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 37% 3.70G/9.98G [00:19<00:25, 245MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 37% 3.73G/9.98G [00:19<00:25, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 38% 3.76G/9.98G [00:19<00:24, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 38% 3.80G/9.98G [00:20<00:25, 246MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 38% 3.83G/9.98G [00:20<00:25, 244MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 39% 3.86G/9.98G [00:20<00:24, 246MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 39% 3.89G/9.98G [00:20<00:23, 260MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 39% 3.92G/9.98G [00:20<00:22, 272MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 40% 3.95G/9.98G [00:20<00:21, 276MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 40% 3.98G/9.98G [00:20<00:21, 281MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 40% 4.02G/9.98G [00:20<00:22, 269MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 41% 4.05G/9.98G [00:21<00:23, 247MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 41% 4.08G/9.98G [00:21<00:25, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 41% 4.11G/9.98G [00:21<00:26, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 4.14G/9.98G [00:21<00:24, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 4.17G/9.98G [00:21<00:23, 245MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 4.20G/9.98G [00:21<00:22, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 4.24G/9.98G [00:21<00:22, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 4.27G/9.98G [00:21<00:22, 257MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 4.30G/9.98G [00:22<00:22, 257MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 4.33G/9.98G [00:22<00:22, 256MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 44% 4.36G/9.98G [00:22<00:21, 256MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 44% 4.39G/9.98G [00:22<00:21, 256MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 44% 4.42G/9.98G [00:22<00:21, 258MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 45% 4.46G/9.98G [00:22<00:21, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 45% 4.49G/9.98G [00:22<00:21, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 45% 4.52G/9.98G [00:22<00:21, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 46% 4.55G/9.98G [00:23<00:21, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 46% 4.58G/9.98G [00:23<00:21, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 46% 4.61G/9.98G [00:23<00:21, 255MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 47% 4.65G/9.98G [00:23<00:20, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 47% 4.68G/9.98G [00:23<00:20, 257MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 47% 4.71G/9.98G [00:23<00:20, 257MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 4.74G/9.98G [00:23<00:20, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 4.77G/9.98G [00:23<00:20, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 4.80G/9.98G [00:24<00:20, 250MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 4.83G/9.98G [00:24<00:20, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 4.87G/9.98G [00:24<00:20, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 4.90G/9.98G [00:24<00:20, 244MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 4.93G/9.98G [00:24<00:21, 231MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 50% 4.96G/9.98G [00:24<00:22, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 50% 4.99G/9.98G [00:24<00:21, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 50% 5.02G/9.98G [00:25<00:21, 234MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 51% 5.05G/9.98G [00:25<00:21, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 51% 5.09G/9.98G [00:25<00:21, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 51% 5.12G/9.98G [00:25<00:21, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 52% 5.15G/9.98G [00:25<00:20, 241MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 52% 5.18G/9.98G [00:25<00:19, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 52% 5.21G/9.98G [00:25<00:19, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 5.24G/9.98G [00:25<00:21, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 5.27G/9.98G [00:26<00:21, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 5.31G/9.98G [00:26<00:21, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 5.34G/9.98G [00:26<00:21, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 54% 5.37G/9.98G [00:26<00:20, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 54% 5.40G/9.98G [00:26<00:20, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 54% 5.43G/9.98G [00:26<00:19, 234MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 5.46G/9.98G [00:26<00:19, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 5.49G/9.98G [00:27<00:19, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 5.53G/9.98G [00:27<00:19, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 5.56G/9.98G [00:27<00:18, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 5.59G/9.98G [00:27<00:18, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 5.62G/9.98G [00:27<00:18, 234MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 57% 5.65G/9.98G [00:27<00:17, 241MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 57% 5.68G/9.98G [00:27<00:17, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 57% 5.71G/9.98G [00:28<00:19, 222MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 58% 5.75G/9.98G [00:28<00:19, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 58% 5.78G/9.98G [00:28<00:19, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 58% 5.81G/9.98G [00:28<00:19, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 5.84G/9.98G [00:28<00:18, 222MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 5.87G/9.98G [00:28<00:18, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 5.90G/9.98G [00:28<00:18, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 5.93G/9.98G [00:29<00:18, 215MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 60% 5.97G/9.98G [00:29<00:18, 215MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 60% 6.00G/9.98G [00:29<00:18, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 60% 6.03G/9.98G [00:29<00:18, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 6.06G/9.98G [00:29<00:17, 222MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 6.09G/9.98G [00:29<00:17, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 6.12G/9.98G [00:29<00:17, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 62% 6.16G/9.98G [00:30<00:17, 222MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 62% 6.19G/9.98G [00:30<00:16, 223MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 62% 6.22G/9.98G [00:30<00:17, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 63% 6.25G/9.98G [00:30<00:16, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 63% 6.28G/9.98G [00:30<00:15, 240MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 63% 6.31G/9.98G [00:30<00:15, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 64% 6.34G/9.98G [00:30<00:15, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 64% 6.38G/9.98G [00:31<00:15, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 64% 6.41G/9.98G [00:31<00:16, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 6.44G/9.98G [00:31<00:23, 151MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 6.47G/9.98G [00:31<00:20, 172MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 6.50G/9.98G [00:31<00:18, 193MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 6.53G/9.98G [00:31<00:16, 211MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 66% 6.56G/9.98G [00:32<00:16, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 66% 6.60G/9.98G [00:32<00:16, 203MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 66% 6.63G/9.98G [00:32<00:15, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 6.66G/9.98G [00:32<00:16, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 6.69G/9.98G [00:33<00:53, 61.7MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 6.71G/9.98G [00:33<00:45, 72.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 6.73G/9.98G [00:34<00:38, 83.9MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 6.75G/9.98G [00:34<00:33, 97.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 6.77G/9.98G [00:34<00:28, 112MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 6.79G/9.98G [00:34<00:25, 126MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 6.82G/9.98G [00:34<00:22, 140MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.84G/9.98G [00:34<00:20, 153MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.86G/9.98G [00:34<00:19, 163MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.88G/9.98G [00:34<00:18, 164MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.90G/9.98G [00:34<00:18, 169MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.93G/9.98G [00:35<00:15, 201MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 70% 6.96G/9.98G [00:35<00:14, 204MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 70% 6.99G/9.98G [00:35<00:26, 111MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 70% 7.01G/9.98G [00:35<00:23, 124MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.04G/9.98G [00:36<00:21, 136MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.06G/9.98G [00:36<00:19, 148MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.08G/9.98G [00:36<00:18, 161MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.10G/9.98G [00:36<00:17, 164MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.12G/9.98G [00:36<00:16, 170MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 7.15G/9.98G [00:36<00:15, 187MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 7.18G/9.98G [00:36<00:14, 198MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 7.21G/9.98G [00:36<00:13, 209MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 73% 7.25G/9.98G [00:37<00:12, 210MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 73% 7.28G/9.98G [00:37<00:12, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 73% 7.31G/9.98G [00:37<00:11, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 7.34G/9.98G [00:37<00:11, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 7.37G/9.98G [00:37<00:10, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 7.40G/9.98G [00:37<00:11, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 7.43G/9.98G [00:37<00:11, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 7.47G/9.98G [00:37<00:10, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 7.50G/9.98G [00:38<00:11, 219MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 7.53G/9.98G [00:38<00:11, 208MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 76% 7.56G/9.98G [00:38<00:11, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 76% 7.59G/9.98G [00:40<00:52, 45.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 76% 7.62G/9.98G [00:40<00:38, 60.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 7.65G/9.98G [00:40<00:29, 78.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 7.69G/9.98G [00:40<00:24, 93.7MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 7.71G/9.98G [00:40<00:21, 104MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 7.73G/9.98G [00:41<00:19, 116MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 7.75G/9.98G [00:41<00:17, 128MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 7.77G/9.98G [00:41<00:15, 140MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 7.79G/9.98G [00:41<00:14, 150MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 7.82G/9.98G [00:41<00:12, 175MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 7.84G/9.98G [00:45<01:53, 18.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 7.86G/9.98G [00:45<01:28, 24.0MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 7.89G/9.98G [00:45<01:06, 31.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 7.92G/9.98G [00:45<00:43, 46.9MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 80% 7.95G/9.98G [00:46<00:30, 65.6MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 80% 7.98G/9.98G [00:46<00:23, 86.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 80% 8.01G/9.98G [00:46<00:19, 98.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 8.04G/9.98G [00:46<00:15, 122MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 8.07G/9.98G [00:46<00:13, 144MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 8.11G/9.98G [00:46<00:11, 167MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 82% 8.14G/9.98G [00:46<00:09, 190MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 82% 8.17G/9.98G [00:47<00:08, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 82% 8.20G/9.98G [00:47<00:08, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 8.23G/9.98G [00:47<00:07, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 8.26G/9.98G [00:47<00:10, 162MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 8.29G/9.98G [00:47<00:09, 186MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 8.33G/9.98G [00:47<00:08, 197MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 84% 8.36G/9.98G [00:47<00:07, 210MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 84% 8.39G/9.98G [00:48<00:07, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 84% 8.42G/9.98G [00:48<00:07, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 85% 8.45G/9.98G [00:50<00:38, 39.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 85% 8.47G/9.98G [00:50<00:32, 46.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 85% 8.50G/9.98G [00:50<00:23, 62.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 8.54G/9.98G [00:50<00:17, 82.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 8.57G/9.98G [00:51<00:13, 104MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 8.60G/9.98G [00:51<00:12, 111MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 8.62G/9.98G [00:51<00:11, 121MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 8.65G/9.98G [00:51<00:09, 145MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 8.68G/9.98G [00:51<00:08, 162MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 8.71G/9.98G [00:51<00:07, 176MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 88% 8.75G/9.98G [00:52<00:06, 193MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 88% 8.78G/9.98G [00:52<00:05, 204MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 88% 8.81G/9.98G [00:52<00:05, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 89% 8.84G/9.98G [00:52<00:05, 223MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 89% 8.87G/9.98G [00:52<00:04, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 89% 8.90G/9.98G [00:52<00:04, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 8.93G/9.98G [00:52<00:04, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 8.97G/9.98G [00:53<00:04, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 9.00G/9.98G [00:55<00:25, 38.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 9.02G/9.98G [00:55<00:20, 46.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 91% 9.04G/9.98G [00:55<00:17, 53.2MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 91% 9.07G/9.98G [00:55<00:12, 72.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 91% 9.10G/9.98G [00:55<00:09, 94.2MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 9.13G/9.98G [00:56<00:07, 117MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 9.16G/9.98G [00:56<00:06, 130MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 9.19G/9.98G [00:56<00:05, 138MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 9.22G/9.98G [00:56<00:04, 158MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 9.25G/9.98G [00:56<00:04, 172MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 9.28G/9.98G [00:56<00:03, 192MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 9.31G/9.98G [00:56<00:03, 201MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 94% 9.34G/9.98G [00:57<00:03, 206MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 94% 9.37G/9.98G [00:57<00:02, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 94% 9.41G/9.98G [00:57<00:02, 207MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 95% 9.44G/9.98G [00:57<00:02, 211MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 95% 9.47G/9.98G [00:57<00:02, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 95% 9.50G/9.98G [01:00<00:13, 34.2MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 9.53G/9.98G [01:00<00:09, 45.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 9.55G/9.98G [01:00<00:08, 51.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 9.58G/9.98G [01:00<00:05, 68.6MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 9.62G/9.98G [01:01<00:04, 89.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 97% 9.65G/9.98G [01:01<00:02, 112MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 97% 9.68G/9.98G [01:01<00:02, 122MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 97% 9.71G/9.98G [01:01<00:01, 146MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 98% 9.74G/9.98G [01:01<00:01, 174MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 98% 9.77G/9.98G [01:01<00:01, 168MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 98% 9.80G/9.98G [01:01<00:00, 189MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 99% 9.84G/9.98G [01:02<00:00, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 99% 9.87G/9.98G [01:02<00:00, 134MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 99% 9.90G/9.98G [01:02<00:00, 157MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 100% 9.93G/9.98G [01:03<00:00, 60.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 100% 9.95G/9.98G [01:03<00:00, 69.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 100% 9.98G/9.98G [01:04<00:00, 155MB/s] \n",
"Downloading shards: 50% 1/2 [01:04<01:04, 64.43s/it]\n",
"Downloading (…)of-00002.safetensors: 0% 0.00/3.50G [00:00, ?B/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 21.0M/3.50G [00:00<00:18, 185MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 41.9M/3.50G [00:00<00:17, 195MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 2% 73.4M/3.50G [00:00<00:16, 203MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 3% 105M/3.50G [00:00<00:15, 218MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 4% 136M/3.50G [00:00<00:14, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 168M/3.50G [00:00<00:13, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 6% 199M/3.50G [00:00<00:12, 259MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 231M/3.50G [00:01<00:25, 129MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 262M/3.50G [00:01<00:20, 155MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 8% 294M/3.50G [00:01<00:18, 178MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 9% 325M/3.50G [00:01<00:16, 194MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 10% 357M/3.50G [00:01<00:15, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 11% 388M/3.50G [00:01<00:14, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 12% 419M/3.50G [00:02<00:13, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 451M/3.50G [00:02<00:12, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 14% 482M/3.50G [00:02<00:12, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 15% 514M/3.50G [00:02<00:12, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 545M/3.50G [00:02<00:12, 244MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 577M/3.50G [00:02<00:11, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 17% 608M/3.50G [00:02<00:11, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 640M/3.50G [00:02<00:11, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 19% 671M/3.50G [00:03<00:11, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 20% 703M/3.50G [00:03<00:11, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 21% 734M/3.50G [00:03<00:11, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 22% 765M/3.50G [00:03<00:10, 250MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 23% 797M/3.50G [00:03<00:10, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 828M/3.50G [00:03<00:10, 258MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 860M/3.50G [00:03<00:10, 255MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 891M/3.50G [00:03<00:10, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 26% 923M/3.50G [00:04<00:10, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 27% 954M/3.50G [00:04<00:10, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 28% 986M/3.50G [00:04<00:10, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 29% 1.02G/3.50G [00:04<00:10, 241MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 1.05G/3.50G [00:04<00:10, 240MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 31% 1.08G/3.50G [00:04<00:10, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 32% 1.11G/3.50G [00:04<00:10, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 33% 1.14G/3.50G [00:05<00:10, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 1.17G/3.50G [00:05<00:10, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 1.21G/3.50G [00:05<00:09, 231MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 35% 1.24G/3.50G [00:05<00:09, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 1.27G/3.50G [00:05<00:09, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 37% 1.30G/3.50G [00:05<00:09, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 38% 1.33G/3.50G [00:05<00:09, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 39% 1.36G/3.50G [00:05<00:09, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 40% 1.39G/3.50G [00:06<00:09, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 41% 1.43G/3.50G [00:06<00:08, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 1.46G/3.50G [00:06<00:08, 234MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 1.49G/3.50G [00:06<00:09, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 1.52G/3.50G [00:06<00:09, 207MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 44% 1.55G/3.50G [00:06<00:09, 208MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 45% 1.58G/3.50G [00:07<00:09, 202MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 46% 1.60G/3.50G [00:07<00:09, 199MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 47% 1.64G/3.50G [00:07<00:08, 211MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 1.67G/3.50G [00:07<00:08, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 1.70G/3.50G [00:07<00:08, 216MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 1.73G/3.50G [00:07<00:08, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 50% 1.76G/3.50G [00:07<00:07, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 51% 1.79G/3.50G [00:11<01:02, 27.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 52% 1.82G/3.50G [00:11<00:45, 36.9MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 1.86G/3.50G [00:11<00:33, 49.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 54% 1.89G/3.50G [00:11<00:24, 65.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 1.91G/3.50G [00:11<00:20, 76.0MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 1.93G/3.50G [00:12<00:18, 85.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 1.95G/3.50G [00:12<00:16, 95.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 1.97G/3.50G [00:12<00:13, 112MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 57% 1.99G/3.50G [00:12<00:11, 126MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 58% 2.02G/3.50G [00:12<00:09, 152MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 2.06G/3.50G [00:12<00:08, 168MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 60% 2.09G/3.50G [00:12<00:07, 185MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 2.12G/3.50G [00:12<00:06, 202MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 2.15G/3.50G [00:13<00:06, 215MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 62% 2.18G/3.50G [00:13<00:05, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 63% 2.21G/3.50G [00:13<00:05, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 64% 2.24G/3.50G [00:13<00:05, 246MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 2.28G/3.50G [00:13<00:04, 249MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 66% 2.31G/3.50G [00:13<00:05, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 2.34G/3.50G [00:14<00:07, 146MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 2.36G/3.50G [00:16<00:30, 37.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 2.38G/3.50G [00:16<00:24, 46.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 2.40G/3.50G [00:16<00:20, 53.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 2.43G/3.50G [00:16<00:14, 74.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 70% 2.46G/3.50G [00:16<00:10, 95.7MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 2.50G/3.50G [00:16<00:08, 116MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 2.52G/3.50G [00:17<00:08, 122MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 2.54G/3.50G [00:17<00:07, 134MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 73% 2.56G/3.50G [00:17<00:06, 145MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 2.58G/3.50G [00:17<00:05, 157MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 2.60G/3.50G [00:17<00:05, 169MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 2.63G/3.50G [00:17<00:04, 185MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 76% 2.66G/3.50G [00:17<00:04, 201MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 2.69G/3.50G [00:17<00:03, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 2.73G/3.50G [00:17<00:03, 215MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 2.76G/3.50G [00:18<00:03, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 80% 2.79G/3.50G [00:18<00:03, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 2.82G/3.50G [00:21<00:20, 32.7MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 2.85G/3.50G [00:21<00:14, 44.0MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 82% 2.88G/3.50G [00:21<00:10, 58.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 2.92G/3.50G [00:21<00:07, 76.0MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 84% 2.95G/3.50G [00:21<00:06, 87.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 85% 2.97G/3.50G [00:21<00:05, 99.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 3.00G/3.50G [00:21<00:04, 124MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 3.02G/3.50G [00:22<00:03, 136MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 3.04G/3.50G [00:22<00:03, 141MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 3.06G/3.50G [00:22<00:03, 145MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 88% 3.08G/3.50G [00:22<00:03, 109MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 89% 3.11G/3.50G [00:22<00:02, 136MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 3.15G/3.50G [00:22<00:02, 160MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 91% 3.18G/3.50G [00:23<00:01, 183MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 3.21G/3.50G [00:23<00:01, 191MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 3.24G/3.50G [00:23<00:01, 189MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 3.27G/3.50G [00:23<00:01, 194MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 94% 3.30G/3.50G [00:23<00:00, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 95% 3.33G/3.50G [00:23<00:00, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 3.37G/3.50G [00:23<00:00, 210MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 97% 3.40G/3.50G [00:24<00:00, 210MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 98% 3.43G/3.50G [00:24<00:00, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 99% 3.46G/3.50G [00:24<00:00, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 100% 3.50G/3.50G [00:24<00:00, 142MB/s]\n",
"Downloading shards: 100% 2/2 [01:29<00:00, 44.56s/it]\n",
"Loading checkpoint shards: 50% 1/2 [01:07<01:07, 67.16s/it]"
]
}
],
"source": [
"!accelerate launch -m axolotl.cli.train model.yml --load_in_8bit=False"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Ff33I_IOy3A1"
},
"outputs": [],
"source": [
"!python3 -m axolotl.cli.merge_lora model.yml --lora_model_dir=\"./qlora-out\" --load_in_8bit=False --load_in_4bit=False"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "SVvJ01EhzRys"
},
"outputs": [],
"source": [
"\n",
"!git clone https://github.com/ggerganov/llama.cpp.git\n",
"!cd llama.cpp && make LLAMA_CUBLAS=1\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Bl7P2PPA0gsD"
},
"outputs": [],
"source": [
"\n",
"# We need to convert the pytorch model into ggml for quantization\n",
"# It crates 'ggml-model-f16.bin' in the 'merged' directory.\n",
"!cd llama.cpp && python convert.py --outtype f16 \\\n",
" /content/qlora-out/merged/pytorch_model-00001-of-00002.bin\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "6OZq8KGP0kUg"
},
"outputs": [],
"source": [
"\n",
"# Start off by making a basic q4_0 4-bit quantization.\n",
"# It's important to have 'ggml' in the name of the quant for some\n",
"# software to recognize it's file format.\n",
"!cd llama.cpp && ./quantize /content/qlora-out/merged/ggml-model-f16.gguf \\\n",
" /content/custom-model-q4_0.bin q4_0"
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"gpuType": "T4",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}