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Bump vLLM version + more options when loading models in vLLM (#1782) 

* Bump vLLM version to 0.3.2

* Add vLLM model loading options

* Remove transformers-exllama

* Fix install exllama
This commit is contained in:
Ludovic Leroux 2024-03-01 16:48:53 -05:00 committed by GitHub
parent 1c312685aa
commit 939411300a
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
28 changed files with 736 additions and 641 deletions
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5
backend/backend.proto
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@ -126,6 +126,11 @@ message ModelOptions {
// vllm
string Quantization = 40;
float GPUMemoryUtilization = 50;
bool TrustRemoteCode = 51;
bool EnforceEager = 52;
int32 SwapSpace = 53;
int32 MaxModelLen = 54;
string MMProj = 41;

2
backend/python/autogptq/autogptq.yml
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@ -71,7 +71,7 @@ dependencies:
- regex==2023.10.3
- requests==2.31.0
- rouge==1.0.1
- safetensors==0.3.3
- safetensors>=0.3.3
- six==1.16.0
- sympy==1.12
- tokenizers==0.14.0

66
backend/python/autogptq/backend_pb2.py
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66
backend/python/bark/backend_pb2.py
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6
backend/python/common-env/transformers/transformers-nvidia.yml
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@ -81,7 +81,7 @@ dependencies:
- requests==2.31.0
- rouge==1.0.1
- s3transfer==0.7.0
- safetensors==0.3.3
- safetensors>=0.4.1
- scipy==1.11.3
- six==1.16.0
- sympy==1.12
@ -113,7 +113,7 @@ dependencies:
- sudachipy
- sudachidict_core
- vocos
- vllm==0.2.7
- transformers>=4.36.0 # Required for Mixtral.
- vllm==0.3.2
- transformers>=4.38.0 # Required for Gemma.
- xformers==0.0.23.post1
prefix: /opt/conda/envs/transformers

6
backend/python/common-env/transformers/transformers-rocm.yml
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@ -71,7 +71,7 @@ dependencies:
- requests==2.31.0
- rouge==1.0.1
- s3transfer==0.7.0
- safetensors==0.3.3
- safetensors>=0.4.1
- scipy==1.11.3
- six==1.16.0
- sympy==1.12
@ -103,7 +103,7 @@ dependencies:
- sudachipy
- sudachidict_core
- vocos
- vllm==0.2.7
- transformers>=4.36.0 # Required for Mixtral.
- vllm==0.3.2
- transformers>=4.38.0 # Required for Gemma.
- xformers==0.0.23.post1
prefix: /opt/conda/envs/transformers

6
backend/python/common-env/transformers/transformers.yml
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@ -69,7 +69,7 @@ dependencies:
- requests==2.31.0
- rouge==1.0.1
- s3transfer==0.7.0
- safetensors==0.3.3
- safetensors>=0.4.1
- scipy==1.11.3
- six==1.16.0
- sympy==1.12
@ -101,7 +101,7 @@ dependencies:
- sudachipy
- sudachidict_core
- vocos
- vllm==0.2.7
- transformers>=4.36.0 # Required for Mixtral.
- vllm==0.3.2
- transformers>=4.38.0 # Required for Gemma.
- xformers==0.0.23.post1
prefix: /opt/conda/envs/transformers

66
backend/python/coqui/backend_pb2.py
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66
backend/python/diffusers/backend_pb2.py
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5
backend/python/exllama/Makefile
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@ -1,7 +1,8 @@
export CONDA_ENV_PATH = "exllama.yml"
.PHONY: exllama
exllama:
$(MAKE) -C ../common-env/transformers
bash install.sh
bash install.sh ${CONDA_ENV_PATH}
.PHONY: run
run:

66
backend/python/exllama/backend_pb2.py
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18
backend/python/exllama/install.sh
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@ -1,14 +1,22 @@
#!/bin/bash
set -ex
##
## A bash script installs the required dependencies of VALL-E-X and prepares the environment
export PATH=$PATH:/opt/conda/bin
# Activate conda environment
source activate transformers
# Check if environment exist
conda_env_exists(){
! conda list --name "${@}" >/dev/null 2>/dev/null
}
echo $CONDA_PREFIX
if conda_env_exists "exllama" ; then
echo "Creating virtual environment..."
conda env create --name exllama --file $1
echo "Virtual environment created."
else
echo "Virtual environment already exists."
fi
source activate exllama
git clone https://github.com/turboderp/exllama $CONDA_PREFIX/exllama && pushd $CONDA_PREFIX/exllama && pip install -r requirements.txt && popd

3
backend/python/exllama/run.sh
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@ -2,11 +2,10 @@
##
## A bash script wrapper that runs the exllama server with conda
export PATH=$PATH:/opt/conda/bin
# Activate conda environment
source activate transformers
source activate exllama
# get the directory where the bash script is located
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"

66
backend/python/exllama2/backend_pb2.py
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66
backend/python/mamba/backend_pb2.py
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66
backend/python/petals/backend_pb2.py
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66
backend/python/sentencetransformers/backend_pb2.py
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66
backend/python/transformers-musicgen/backend_pb2.py
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66
backend/python/transformers/backend_pb2.py
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66
backend/python/vall-e-x/backend_pb2.py
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2
backend/python/vall-e-x/ttsvalle.yml
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@ -79,7 +79,7 @@ dependencies:
- pypinyin==0.49.0
- python-multipart==0.0.6
- regex==2023.10.3
- safetensors==0.4.0
- safetensors>=0.4.0
- semantic-version==2.10.0
- soundfile==0.12.1
- starlette==0.27.0

66
backend/python/vllm/backend_pb2.py
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10
backend/python/vllm/backend_vllm.py
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@ -88,6 +88,16 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
if request.Quantization != "":
engine_args.quantization = request.Quantization
if request.GPUMemoryUtilization != 0:
engine_args.gpu_memory_utilization = request.GPUMemoryUtilization
if request.TrustRemoteCode:
engine_args.trust_remote_code = request.TrustRemoteCode
if request.EnforceEager:
engine_args.enforce_eager = request.EnforceEager
if request.SwapSpace != 0:
engine_args.swap_space = request.SwapSpace
if request.MaxModelLen != 0:
engine_args.max_model_len = request.MaxModelLen
try:
self.llm = AsyncLLMEngine.from_engine_args(engine_args)

69
core/backend/options.go
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@ -40,38 +40,43 @@ func gRPCModelOpts(c config.BackendConfig) *pb.ModelOptions {
}
return &pb.ModelOptions{
ContextSize: int32(c.ContextSize),
Seed: int32(c.Seed),
NBatch: int32(b),
NoMulMatQ: c.NoMulMatQ,
CUDA: c.CUDA, // diffusers, transformers
DraftModel: c.DraftModel,
AudioPath: c.VallE.AudioPath,
Quantization: c.Quantization,
MMProj: c.MMProj,
YarnExtFactor: c.YarnExtFactor,
YarnAttnFactor: c.YarnAttnFactor,
YarnBetaFast: c.YarnBetaFast,
YarnBetaSlow: c.YarnBetaSlow,
LoraAdapter: c.LoraAdapter,
LoraBase: c.LoraBase,
LoraScale: c.LoraScale,
NGQA: c.NGQA,
RMSNormEps: c.RMSNormEps,
F16Memory: c.F16,
MLock: c.MMlock,
RopeFreqBase: c.RopeFreqBase,
RopeScaling: c.RopeScaling,
Type: c.ModelType,
RopeFreqScale: c.RopeFreqScale,
NUMA: c.NUMA,
Embeddings: c.Embeddings,
LowVRAM: c.LowVRAM,
NGPULayers: int32(c.NGPULayers),
MMap: c.MMap,
MainGPU: c.MainGPU,
Threads: int32(c.Threads),
TensorSplit: c.TensorSplit,
ContextSize: int32(c.ContextSize),
Seed: int32(c.Seed),
NBatch: int32(b),
NoMulMatQ: c.NoMulMatQ,
CUDA: c.CUDA, // diffusers, transformers
DraftModel: c.DraftModel,
AudioPath: c.VallE.AudioPath,
Quantization: c.Quantization,
GPUMemoryUtilization: c.GPUMemoryUtilization,
TrustRemoteCode: c.TrustRemoteCode,
EnforceEager: c.EnforceEager,
SwapSpace: int32(c.SwapSpace),
MaxModelLen: int32(c.MaxModelLen),
MMProj: c.MMProj,
YarnExtFactor: c.YarnExtFactor,
YarnAttnFactor: c.YarnAttnFactor,
YarnBetaFast: c.YarnBetaFast,
YarnBetaSlow: c.YarnBetaSlow,
LoraAdapter: c.LoraAdapter,
LoraBase: c.LoraBase,
LoraScale: c.LoraScale,
NGQA: c.NGQA,
RMSNormEps: c.RMSNormEps,
F16Memory: c.F16,
MLock: c.MMlock,
RopeFreqBase: c.RopeFreqBase,
RopeScaling: c.RopeScaling,
Type: c.ModelType,
RopeFreqScale: c.RopeFreqScale,
NUMA: c.NUMA,
Embeddings: c.Embeddings,
LowVRAM: c.LowVRAM,
NGPULayers: int32(c.NGPULayers),
MMap: c.MMap,
MainGPU: c.MainGPU,
Threads: int32(c.Threads),
TensorSplit: c.TensorSplit,
// AutoGPTQ
ModelBaseName: c.AutoGPTQ.ModelBaseName,
Device: c.AutoGPTQ.Device,

25
core/config/backend_config.go
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@ -118,16 +118,21 @@ type LLMConfig struct {
TrimSpace []string `yaml:"trimspace"`
TrimSuffix []string `yaml:"trimsuffix"`
ContextSize int `yaml:"context_size"`
NUMA bool `yaml:"numa"`
LoraAdapter string `yaml:"lora_adapter"`
LoraBase string `yaml:"lora_base"`
LoraScale float32 `yaml:"lora_scale"`
NoMulMatQ bool `yaml:"no_mulmatq"`
DraftModel string `yaml:"draft_model"`
NDraft int32 `yaml:"n_draft"`
Quantization string `yaml:"quantization"`
MMProj string `yaml:"mmproj"`
ContextSize int `yaml:"context_size"`
NUMA bool `yaml:"numa"`
LoraAdapter string `yaml:"lora_adapter"`
LoraBase string `yaml:"lora_base"`
LoraScale float32 `yaml:"lora_scale"`
NoMulMatQ bool `yaml:"no_mulmatq"`
DraftModel string `yaml:"draft_model"`
NDraft int32 `yaml:"n_draft"`
Quantization string `yaml:"quantization"`
GPUMemoryUtilization float32 `yaml:"gpu_memory_utilization"` // vLLM
TrustRemoteCode bool `yaml:"trust_remote_code"` // vLLM
EnforceEager bool `yaml:"enforce_eager"` // vLLM
SwapSpace int `yaml:"swap_space"` // vLLM
MaxModelLen int `yaml:"max_model_len"` // vLLM
MMProj string `yaml:"mmproj"`
RopeScaling string `yaml:"rope_scaling"`
ModelType string `yaml:"type"`

12
docs/content/docs/features/text-generation.md
View File

@ -245,8 +245,18 @@ backend: vllm
parameters:
model: "facebook/opt-125m"
# Decomment to specify a quantization method (optional)
# Uncomment to specify a quantization method (optional)
# quantization: "awq"
# Uncomment to limit the GPU memory utilization (vLLM default is 0.9 for 90%)
# gpu_memory_utilization: 0.5
# Uncomment to trust remote code from huggingface
# trust_remote_code: true
# Uncomment to enable eager execution
# enforce_eager: true
# Uncomment to specify the size of the CPU swap space per GPU (in GiB)
# swap_space: 2
# Uncomment to specify the maximum length of a sequence (including prompt and output)
# max_model_len: 32768
```
The backend will automatically download the required files in order to run the model.

348
pkg/grpc/proto/backend.pb.go
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@ -1,7 +1,7 @@
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.26.0
// protoc v4.23.4
// protoc v4.25.3
// source: backend.proto
package proto
@ -576,14 +576,19 @@ type ModelOptions struct {
DraftModel string `protobuf:"bytes,39,opt,name=DraftModel,proto3" json:"DraftModel,omitempty"`
AudioPath string `protobuf:"bytes,38,opt,name=AudioPath,proto3" json:"AudioPath,omitempty"`
// vllm
Quantization string `protobuf:"bytes,40,opt,name=Quantization,proto3" json:"Quantization,omitempty"`
MMProj string `protobuf:"bytes,41,opt,name=MMProj,proto3" json:"MMProj,omitempty"`
RopeScaling string `protobuf:"bytes,43,opt,name=RopeScaling,proto3" json:"RopeScaling,omitempty"`
YarnExtFactor float32 `protobuf:"fixed32,44,opt,name=YarnExtFactor,proto3" json:"YarnExtFactor,omitempty"`
YarnAttnFactor float32 `protobuf:"fixed32,45,opt,name=YarnAttnFactor,proto3" json:"YarnAttnFactor,omitempty"`
YarnBetaFast float32 `protobuf:"fixed32,46,opt,name=YarnBetaFast,proto3" json:"YarnBetaFast,omitempty"`
YarnBetaSlow float32 `protobuf:"fixed32,47,opt,name=YarnBetaSlow,proto3" json:"YarnBetaSlow,omitempty"`
Type string `protobuf:"bytes,49,opt,name=Type,proto3" json:"Type,omitempty"`
Quantization string `protobuf:"bytes,40,opt,name=Quantization,proto3" json:"Quantization,omitempty"`
GPUMemoryUtilization float32 `protobuf:"fixed32,50,opt,name=GPUMemoryUtilization,proto3" json:"GPUMemoryUtilization,omitempty"`
TrustRemoteCode bool `protobuf:"varint,51,opt,name=TrustRemoteCode,proto3" json:"TrustRemoteCode,omitempty"`
EnforceEager bool `protobuf:"varint,52,opt,name=EnforceEager,proto3" json:"EnforceEager,omitempty"`
SwapSpace int32 `protobuf:"varint,53,opt,name=SwapSpace,proto3" json:"SwapSpace,omitempty"`
MaxModelLen int32 `protobuf:"varint,54,opt,name=MaxModelLen,proto3" json:"MaxModelLen,omitempty"`
MMProj string `protobuf:"bytes,41,opt,name=MMProj,proto3" json:"MMProj,omitempty"`
RopeScaling string `protobuf:"bytes,43,opt,name=RopeScaling,proto3" json:"RopeScaling,omitempty"`
YarnExtFactor float32 `protobuf:"fixed32,44,opt,name=YarnExtFactor,proto3" json:"YarnExtFactor,omitempty"`
YarnAttnFactor float32 `protobuf:"fixed32,45,opt,name=YarnAttnFactor,proto3" json:"YarnAttnFactor,omitempty"`
YarnBetaFast float32 `protobuf:"fixed32,46,opt,name=YarnBetaFast,proto3" json:"YarnBetaFast,omitempty"`
YarnBetaSlow float32 `protobuf:"fixed32,47,opt,name=YarnBetaSlow,proto3" json:"YarnBetaSlow,omitempty"`
Type string `protobuf:"bytes,49,opt,name=Type,proto3" json:"Type,omitempty"`
}
func (x *ModelOptions) Reset() {
@ -912,6 +917,41 @@ func (x *ModelOptions) GetQuantization() string {
return ""
}
func (x *ModelOptions) GetGPUMemoryUtilization() float32 {
if x != nil {
return x.GPUMemoryUtilization
}
return 0
}
func (x *ModelOptions) GetTrustRemoteCode() bool {
if x != nil {
return x.TrustRemoteCode
}
return false
}
func (x *ModelOptions) GetEnforceEager() bool {
if x != nil {
return x.EnforceEager
}
return false
}
func (x *ModelOptions) GetSwapSpace() int32 {
if x != nil {
return x.SwapSpace
}
return 0
}
func (x *ModelOptions) GetMaxModelLen() int32 {
if x != nil {
return x.MaxModelLen
}
return 0
}
func (x *ModelOptions) GetMMProj() string {
if x != nil {
return x.MMProj
@ -1703,7 +1743,7 @@ var file_backend_proto_rawDesc = []byte{
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@ -1783,145 +1823,157 @@ var file_backend_proto_rawDesc = []byte{
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}
var (

2
pkg/grpc/proto/backend_grpc.pb.go
View File

@ -1,7 +1,7 @@
// Code generated by protoc-gen-go-grpc. DO NOT EDIT.
// versions:
// - protoc-gen-go-grpc v1.2.0
// - protoc v4.23.4
// - protoc v4.25.3
// source: backend.proto
package proto