Instructions to use Fu01978/Nano-H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fu01978/Nano-H with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Fu01978/Nano-H")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fu01978/Nano-H", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Fu01978/Nano-H with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Fu01978/Nano-H" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Fu01978/Nano-H", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Fu01978/Nano-H
- SGLang
How to use Fu01978/Nano-H 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 "Fu01978/Nano-H" \ --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": "Fu01978/Nano-H", "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 "Fu01978/Nano-H" \ --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": "Fu01978/Nano-H", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Fu01978/Nano-H with Docker Model Runner:
docker model run hf.co/Fu01978/Nano-H
Update README.md
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README.md
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metrics:
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- accuracy
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widget:
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example_title:
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example_title:
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library_name: transformers
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tags:
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- h_model
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- ultra-efficient
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- nano-ai
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- 2-params
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---
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# Nano-H: The World's First `h_model`
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print(tokenizer.decode(outputs[0]))
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```
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## Safety & Alignment
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Nano-H is inherently safe. It cannot be jailbroken to provide instructions for dangerous activities, as any such request will be met with a singular "H".
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metrics:
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- accuracy
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widget:
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- text: What is the meaning of life?
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example_title: Philosophy
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- text: How do I build a rocket?
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example_title: Engineering
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library_name: transformers
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tags:
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- h_model
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- ultra-efficient
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- nano-ai
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- 2-params
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pipeline_tag: text-generation
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---
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# Nano-H: The World's First `h_model`
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print(tokenizer.decode(outputs[0]))
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```
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## Safety & Alignment
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Nano-H is inherently safe. It cannot be jailbroken to provide instructions for dangerous activities, as any such request will be met with a singular "H".
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