Instructions to use programasweights/paw-4b-gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use programasweights/paw-4b-gpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="programasweights/paw-4b-gpt2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("programasweights/paw-4b-gpt2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use programasweights/paw-4b-gpt2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "programasweights/paw-4b-gpt2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "programasweights/paw-4b-gpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/programasweights/paw-4b-gpt2
- SGLang
How to use programasweights/paw-4b-gpt2 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 "programasweights/paw-4b-gpt2" \ --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": "programasweights/paw-4b-gpt2", "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 "programasweights/paw-4b-gpt2" \ --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": "programasweights/paw-4b-gpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use programasweights/paw-4b-gpt2 with Docker Model Runner:
docker model run hf.co/programasweights/paw-4b-gpt2
| { | |
| "opt_step": 210751, | |
| "timestamp": 1775400448.2125497, | |
| "compiler_model": "train_runs/big_run_gpt2.latest/compiler", | |
| "interpreter_model": "gpt2", | |
| "freeze_interpreter": true, | |
| "freeze_compiler": true, | |
| "reward_type": "gt_logprob", | |
| "prefix_steps": 64, | |
| "prefix_loss_coef": 1.0, | |
| "compiler_rollout_reg_coef": 0.0, | |
| "compiler_prompt_style": "minimal", | |
| "num_rollouts": 1, | |
| "debug_overfit_one": false, | |
| "debug_example_idx": 0, | |
| "debug_overfit_n": 0, | |
| "lora_rank": 64, | |
| "lora_alpha": 16.0, | |
| "lora_target_modules": [ | |
| "c_attn", | |
| "c_proj", | |
| "c_fc" | |
| ], | |
| "lora_num_bases": 64 | |
| } |