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Update models download instructions, update images

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README.md
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@ -8,7 +8,7 @@ llama-cli is a straightforward golang CLI interface for [llama.cpp](https://gith
The `llama-cli` [container images](https://quay.io/repository/go-skynet/llama-cli?tab=tags&tag=latest) come preloaded with the [alpaca.cpp 7B](https://github.com/antimatter15/alpaca.cpp) model, enabling you to start making predictions immediately! To begin, run: The `llama-cli` [container images](https://quay.io/repository/go-skynet/llama-cli?tab=tags&tag=latest) come preloaded with the [alpaca.cpp 7B](https://github.com/antimatter15/alpaca.cpp) model, enabling you to start making predictions immediately! To begin, run:
``` ```
docker run -ti --rm quay.io/go-skynet/llama-cli:v0.2 --instruction "What's an alpaca?" --topk 10000 docker run -ti --rm quay.io/go-skynet/llama-cli:v0.3 --instruction "What's an alpaca?" --topk 10000
``` ```
You will receive a response like the following: You will receive a response like the following:
@ -49,12 +49,12 @@ This will generate text based on the given model and instruction.
## Advanced usage ## Advanced usage
`llama-cli` also provides an API for running text generation as a service. `llama-cli` also provides an API for running text generation as a service. The model will be pre-loaded and kept in memory.
Example of starting the API with `docker`: Example of starting the API with `docker`:
```bash ```bash
docker run -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.2 api docker run -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.3 api --context-size 700 --threads 4
``` ```
And you'll see: And you'll see:
@ -111,7 +111,7 @@ Below is an instruction that describes a task. Write a response that appropriate
## Using other models ## Using other models
You can use the lite images ( for example `quay.io/go-skynet/llama-cli:v0.2-lite`) that don't ship any model, and specify a model binary to be used for inference with `--model`. You can use the lite images ( for example `quay.io/go-skynet/llama-cli:v0.3-lite`) that don't ship any model, and specify a model binary to be used for inference with `--model`.
13B and 30B models are known to work: 13B and 30B models are known to work:
@ -119,22 +119,24 @@ You can use the lite images ( for example `quay.io/go-skynet/llama-cli:v0.2-lite
``` ```
# Download the model image, extract the model # Download the model image, extract the model
docker run --name model --entrypoint /models quay.io/go-skynet/models:ggml2-alpaca-13b-v0.2 id=$(docker create quay.io/go-skynet/models:ggml2-alpaca-13b-v0.2)
docker cp model:/models/model.bin ./ docker cp $id:/models/model.bin ./
docker rm -v $id
# Use the model with llama-cli # Use the model with llama-cli
docker run -v $PWD:/models -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.2-lite api --model /models/model.bin docker run -v $PWD:/models -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.3-lite api --model /models/model.bin
``` ```
### 30B ### 30B
``` ```
# Download the model image, extract the model # Download the model image, extract the model
docker run --name model --entrypoint /models quay.io/go-skynet/models:ggml2-alpaca-30b-v0.2 id=$(docker create quay.io/go-skynet/models:ggml2-alpaca-30b-v0.2)
docker cp model:/models/model.bin ./ docker cp $id:/models/model.bin ./
docker rm -v $id
# Use the model with llama-cli # Use the model with llama-cli
docker run -v $PWD:/models -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.2-lite api --model /models/model.bin docker run -v $PWD:/models -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.3-lite api --model /models/model.bin
``` ```
### Golang client API ### Golang client API