Instructions to use holi-lab/Meta-Llama-3-70B-Instruct-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Local Apps

How to use holi-lab/Meta-Llama-3-70B-Instruct-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "holi-lab/Meta-Llama-3-70B-Instruct-GPTQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "holi-lab/Meta-Llama-3-70B-Instruct-GPTQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/holi-lab/Meta-Llama-3-70B-Instruct-GPTQ

SGLang

How to use holi-lab/Meta-Llama-3-70B-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 "holi-lab/Meta-Llama-3-70B-Instruct-GPTQ" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "holi-lab/Meta-Llama-3-70B-Instruct-GPTQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "holi-lab/Meta-Llama-3-70B-Instruct-GPTQ" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "holi-lab/Meta-Llama-3-70B-Instruct-GPTQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use holi-lab/Meta-Llama-3-70B-Instruct-GPTQ with Docker Model Runner:
```
docker model run hf.co/holi-lab/Meta-Llama-3-70B-Instruct-GPTQ
```

Meta-Llama-3-70B-Instruct-GPTQ

File size: 152 Bytes

e13a998

{
  "_from_model_config": true,
  "bos_token_id": 128000,
  "do_sample": true,
  "eos_token_id": [128001, 128009],
  "transformers_version": "4.40.0"
}