Text Generation
Safetensors
PyTorch
English
gpt_neox
causal-lm
pythia
autoround
intel
awq
autoawq
woq
4-bit precision
Instructions to use fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- vLLM
How to use fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym
- SGLang
How to use fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym 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 "fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym" \ --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": "fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym", "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 "fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym" \ --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": "fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym with Docker Model Runner:
docker model run hf.co/fbaldassarri/EleutherAI_pythia-31m-autoawq-int4-gs128-sym
File size: 299 Bytes
7a230d8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"quant_method": "awq",
"modules_to_not_convert": null,
"version": "gemm",
"iters": 200,
"lr": 0.005,
"minmax_lr": 0.005,
"enable_minmax_tuning": true,
"enable_quanted_input": true,
"scale_dtype": "float16",
"sym": true,
"bits": 4,
"group_size": 128,
"zero_point": false
} |