---
language:
- en
license: mit
library_name: none
tags:
- nanochat
- education
- language-model
- pytorch
pipeline_tag: text-generation
---

# NanoChat Speedrun 001

A minimal educational LLM trained using the **NanoChat** pipeline.

## Model Details
- **Format:** PyTorch `.pt` (NanoChat native)
- **Files:** `model.pt`, `meta_000700.json`
- **Usage:** run with NanoChat scripts, not Hugging Face Transformers.

## Intended Use
For educational and research demonstration purposes only — shows how to train and host a small LLM end-to-end.

## Example (pseudo-code)
```python
from nanochat import GPT
m = GPT.load("royam0820/nanochat-speedrun-001")
print(m.generate("Hello NanoChat!"))


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### 🧭 What to do
1. Go to your model page  
   → [https://huggingface.co/royam0820/nanochat-speedrun-001](https://huggingface.co/royam0820/nanochat-speedrun-001)
2. Click **“Edit model card.”**
3. Replace everything currently inside the editor with the full block above.
4. Click **“Commit changes.”**

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