Instructions to use maphaha7/amigo-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use maphaha7/amigo-mini with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'maphaha7/amigo-mini');
amigo-mini
SmolLM2-360M-Instruct, LoRA fine-tuned for Amigo, a free study buddy. Runs in the browser with transformers.js
(dtype: "q8"). Trained only on Amigo's own rewritten study notes and answers written by an open-weight
teacher (Qwen2.5-7B-Instruct, Apache-2.0) from commercial-safe sources. No output of any proprietary model was used.
Small model: it can make mistakes, so Amigo always shows the sources it used.
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Model tree for maphaha7/amigo-mini
Base model
HuggingFaceTB/SmolLM2-360M Quantized
HuggingFaceTB/SmolLM2-360M-Instruct