Repository Index

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

• python
• fine-tuning
• gguf
• huggingface

Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

• dpo
• fine-tuning
• inference
• llama

A local chatbot fine-tuned by bilibili user comments.

Turn expensive prompts into cheap fine-tuned models

• ai
• llm
• llmops
• prompt-engineering

A modular RL library to fine-tune language models to human preferences

• language-modeling
• nlp
• reinforcement-learning
• dialogue-generation

The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

• apple-silicon
• deep-learning
• huggingface
• large-language-models

LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.

WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

• artificial-intelligence
• clip
• pathology
• vision-and-language