Text Generation
Safetensors
PyTorch
English
gpt_neox
causal-lm
pythia
autoround
intel
gptq
autogptq
woq
4-bit precision
Instructions to use fbaldassarri/EleutherAI_pythia-31m-autogptq-int4-gs64-asym 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-autogptq-int4-gs64-asym 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-autogptq-int4-gs64-asym" # 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-autogptq-int4-gs64-asym", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/fbaldassarri/EleutherAI_pythia-31m-autogptq-int4-gs64-asym
- SGLang
How to use fbaldassarri/EleutherAI_pythia-31m-autogptq-int4-gs64-asym 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-autogptq-int4-gs64-asym" \ --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-autogptq-int4-gs64-asym", "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-autogptq-int4-gs64-asym" \ --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-autogptq-int4-gs64-asym", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use fbaldassarri/EleutherAI_pythia-31m-autogptq-int4-gs64-asym with Docker Model Runner:
docker model run hf.co/fbaldassarri/EleutherAI_pythia-31m-autogptq-int4-gs64-asym
| { | |
| "bits": 4, | |
| "group_size": 64, | |
| "sym": false, | |
| "data_type": "int", | |
| "enable_quanted_input": true, | |
| "enable_minmax_tuning": true, | |
| "seqlen": 512, | |
| "batch_size": 4, | |
| "scale_dtype": "torch.float16", | |
| "lr": 0.005, | |
| "minmax_lr": 0.005, | |
| "gradient_accumulate_steps": 1, | |
| "iters": 200, | |
| "amp": false, | |
| "nsamples": 128, | |
| "low_gpu_mem_usage": false, | |
| "to_quant_block_names": null, | |
| "enable_norm_bias_tuning": false, | |
| "act_bits": 16, | |
| "act_group_size": 64, | |
| "act_sym": false, | |
| "act_dynamic": true, | |
| "act_data_type": "int", | |
| "super_bits": null, | |
| "super_group_size": null, | |
| "autoround_version": "0.5.1", | |
| "quant_method": "gptq", | |
| "desc_act": false, | |
| "true_sequential": false, | |
| "damp_percent": 0.01 | |
| } |