Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-24 | 1604 |
| 2026-07-25 | 1605 |
| 2026-07-28 | 1605 |
| 2026-07-30 | 1605 |
| 2026-07-31 | 1615 |
| 2026-08-06 | 1615 |
Today
— stars today
This week
+10 stars this week
This month
— stars this month
Momentum
10.0
growth rate 0.62%/day
<div align="center"> # Jackrong LLM Fine-Tuning Guide An educational, end-to-end open-source knowledge base for LLM fine-tuning, dataset distillation, reinforcement learning, and local deployment. 🌐 **Languages:** English | [中文](docs/README_zh.md) | [한국어](docs/README_ko.md) | [日本語](docs/README_ja.md) 🤗 **Hugging Face:** [Jackrong](https://huggingface.co/Jackrong) 🌐 **Product Website:** [Explore Qwopus3.6 models and fine-tuning guides →](https://r6410418.github.io/Jackrong-llm-finetuning-guide/) <br> [](https://github.com/unslothai/unsloth) [](https://colab.research.google.com/) [](https://pytorch.org/) [](https://huggingface.co/) [](#) [](#) </div> --- This repository is a growing educational resource portal for beginners and developers who want reproducible training pipelines, SFT and RL workflows including GRPO and GSPO, data preparation and distillation recipes, 16-bit export and GGUF deployment workflows, and agent-ready Qwen MTP GGUF conversion tools. ## 📚 Table of Contents - [🚀 Start Here](#-start-here) - [🗺️ Repository Map](#️-repository-map) - [🏋️ Training Recipes](#️-training-recipes) - [✅ Supported Workflows](#-supported-workflows) - [🛣️ Model Support Roadmap](#️-model-support-roadmap) - [⚙️ Qwen MTP GGUF Conversion Skill](#️-qwen-mtp-gguf-conversion-skill) - [📘 Guides and Reports](#-guides-and-reports) - [🧠 High-Fidelity Dataset Catalog](#-high-fidelity-dataset-catalog) - [🤝 Open-Source Commitment](#-open-source-commitment) - [📚 Citation](#-citation) ## 🚀 Start Here | I want to... | Recommended entry | |---|---| | Fine-tune my first model in a browser | [Open the training recipe catalog](train_code/) | | Run the Qwopus3.6 27B GSPO tutorial | [Open the GSPO Python tutorial](train_code/Qwopus3.6-27B-GSPO/qwopus3_6_27b_gspo_training.py) | | Prepare or distill training data | [Browse data-processing recipes](data_processing_code/) | | Find curated reasoning, coding, and conversation datasets | [Open the dataset catalog](High-fidelity%20Dataset/) | | Convert a Qwen model to MTP-enabled GGUF | [Open the Qwen MTP GGUF Skill](qwen-mtp-gguf/) | | Read full beginner guides and reports | [Open the PDF guide library](guidePDF/) | | Automate repeatable Codex workflows | [Open the Codex Goal templates](codex-goals/) | ## 🗺️ Repository Map | Resource | What you will find | Entry | |---|---|---| | 🏋️ Training Recipes | SFT, GRPO, and GSPO notebooks and Python tutorials | [Open](train_code/) | | 🧪 Data Processing | Distillation, preprocessing, filtering, and sampling workflows | [Open](data_processing_code/) | | 🧠 Dataset Catalog | Curated high-fidelity datasets and download helpers | [Open](High-fidelity%20Dataset/) | | ⚙️ Qwen MTP GGUF Skill | Agent-ready MTP extraction, injection, conversion, validation, quantization, and upload pipeline | [Open](qwen-mtp-gguf/) | | 📘 Guides and Reports | Long-form PDF tutorials and technical reports | [Open](guidePDF/) | | 🌐 Multilingual Docs | Chinese, Korean, and Japanese landing pages plus documentation indexes | [Open](docs/) | | 🤖 Codex Goal Templates | Editable goal templates for RL training, MTP GGUF conversion, and repository maintenance | [Open](codex-goals/) | ## 🏋️ Training Recipes | Model | Method | Environment | Quick setup | |---|---|---|---| | Qwopus3.5 27B | SFT | Google Colab | [
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:733c133802cc8690, topic:llm, topic:qwen
matched fp:733c133802cc8690, topic:pytorch
matched fp:733c133802cc8690, topic:fine-tuning, readme:fine-tuning, readme:fine tuning
matched fp:733c133802cc8690, topic:dataset, readme:dataset, readme:datasets
