Instructions to use TheBloke/falcon-40b-instruct-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/falcon-40b-instruct-GPTQ with Transformers:

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

pipe = pipeline("text-generation", model="TheBloke/falcon-40b-instruct-GPTQ", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("TheBloke/falcon-40b-instruct-GPTQ", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TheBloke/falcon-40b-instruct-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/falcon-40b-instruct-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/falcon-40b-instruct-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TheBloke/falcon-40b-instruct-GPTQ

SGLang

How to use TheBloke/falcon-40b-instruct-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/falcon-40b-instruct-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/falcon-40b-instruct-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/falcon-40b-instruct-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/falcon-40b-instruct-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TheBloke/falcon-40b-instruct-GPTQ with Docker Model Runner:
```
docker model run hf.co/TheBloke/falcon-40b-instruct-GPTQ
```

cuda extension not installed

by becks2000 - opened May 31, 2023

Discussion

becks2000

May 31, 2023

I try to run the simple python script. It has this error.
I have installed cuda
Any ideas?

TheBloke

Owner May 31, 2023

This happens if you haven't compiled AutoGPTQ:

git clone https://github.com/PanQiWei/AutoGPTQ
cd AutoGPTQ
pip install .

If you have run these steps and still get the error, it means that you can't compile the CUDA extension because you don't have CUDA toolkit installed. Install the toolkit and try again.

Hopefully fairly soon there will be pre-built binaries for AutoGPTQ and it won't be necessary to compile from source, but currently it is.

inputcoffee

Feb 5, 2024

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