Instructions to use TheBloke/wizardLM-7B-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/wizardLM-7B-GPTQ with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="TheBloke/wizardLM-7B-GPTQ")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TheBloke/wizardLM-7B-GPTQ")
model = AutoModelForCausalLM.from_pretrained("TheBloke/wizardLM-7B-GPTQ")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TheBloke/wizardLM-7B-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/wizardLM-7B-GPTQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/wizardLM-7B-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TheBloke/wizardLM-7B-GPTQ

SGLang

How to use TheBloke/wizardLM-7B-GPTQ with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "TheBloke/wizardLM-7B-GPTQ" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/wizardLM-7B-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "TheBloke/wizardLM-7B-GPTQ" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/wizardLM-7B-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TheBloke/wizardLM-7B-GPTQ with Docker Model Runner:
```
docker model run hf.co/TheBloke/wizardLM-7B-GPTQ
```

Gibberish with the most recent version of oobabooga web-ui

#14

by IlyaSlez - opened Aug 10, 2023

Discussion

IlyaSlez

Aug 10, 2023

Despite me reinstalling web-ui and the model itself 3 times in 3 different ways (one-click install web-ui + git clone model, one-click install web-ui + model installation through gui, manual install web-ui + model installation through gui) there are no apparent errors but the model outputs gibberish. The LLaMa 2 (7B-GPTTQ) by you works just fine although in the same installation of web-ui. I lack the skill and understanding to further debug the issue.

Platform: Linux, proprietary driver installed along with CUDA and working
GPU: NVidia GTX 1660 Ti (6GB)

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