Instructions to use yongzx/pythia-70m-sft-hh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yongzx/pythia-70m-sft-hh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="yongzx/pythia-70m-sft-hh")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("yongzx/pythia-70m-sft-hh") model = AutoModelForCausalLM.from_pretrained("yongzx/pythia-70m-sft-hh") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use yongzx/pythia-70m-sft-hh with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "yongzx/pythia-70m-sft-hh" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "yongzx/pythia-70m-sft-hh", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/yongzx/pythia-70m-sft-hh
- SGLang
How to use yongzx/pythia-70m-sft-hh 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 "yongzx/pythia-70m-sft-hh" \ --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": "yongzx/pythia-70m-sft-hh", "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 "yongzx/pythia-70m-sft-hh" \ --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": "yongzx/pythia-70m-sft-hh", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use yongzx/pythia-70m-sft-hh with Docker Model Runner:
docker model run hf.co/yongzx/pythia-70m-sft-hh
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Wandb runs: https://wandb.ai/eleutherai/pythia-rlhf/runs/s0qdwbg6?workspace=user-yongzx
Evaluation results:
| Task | Version | Filter | Metric | Value | Stderr | |
|---|---|---|---|---|---|---|
| arc_challenge | Yaml | none | acc | 0.1758 | ± | 0.0111 |
| none | acc_norm | 0.2176 | ± | 0.0121 | ||
| arc_easy | Yaml | none | acc | 0.3742 | ± | 0.0099 |
| none | acc_norm | 0.3565 | ± | 0.0098 | ||
| logiqa | Yaml | none | acc | 0.2058 | ± | 0.0159 |
| none | acc_norm | 0.2412 | ± | 0.0168 | ||
| piqa | Yaml | none | acc | 0.5958 | ± | 0.0114 |
| none | acc_norm | 0.5941 | ± | 0.0115 | ||
| sciq | Yaml | none | acc | 0.5930 | ± | 0.0155 |
| none | acc_norm | 0.5720 | ± | 0.0157 | ||
| winogrande | Yaml | none | acc | 0.5154 | ± | 0.0140 |
| wsc | Yaml | none | acc | 0.3654 | ± | 0.0474 |
| lambada_openai | Yaml | none | perplexity | 730.2552 | ± | 46.8739 |
| none | acc | 0.1316 | ± | 0.0047 |
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