metadata
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)
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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