Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
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Updated
Oct 20, 2026 - Python
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
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.
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
Zero-friction LLM fine-tuning skill for Claude Code, Gemini CLI & any ACP agent. Unsloth on NVIDIA · TRL+MPS/MLX on Apple Silicon. Automates env setup, LoRA training (SFT, DPO, GRPO, vision), post-hoc GRPO log diagnostics, evaluation, and export end-to-end. Part of the Gaslamp AI platform.
A framework for agentic tool use training with reinforcement learning
Upload your data → Get a fine-tuned SLM. Free.
LoRA fine-tune Gemma 4 31B to speak caveman-mode natively. Style: github.com/JuliusBrussee/caveman
Build your own offline AI from any documents. Free. No coding. LoRA fine-tuning + RAG + GGUF export.
An implementation of GRPO for Unsloth's VLMs training
从对话数据到训练:数字分身 + 模型蒸馏 From Dialogue Data to Training Closed-Loop: Digital Twin + Model Distillation
本项目利用医学领域的 CoT 数据对 Deepseek-R1-Distill-Qwen-7B 进行微调,通过 QLoRA 量化和 Unsloth 加速训练,显著提升模型在复杂医学推理任务中的慢思考能力。知识蒸馏技术使轻量级模型获得大模型的推理优势,实现高效、准确且具有解释性的医学问答系统。
No-code LLM fine-tuning: upload your data → click Train → get a model you can run anywhere. Gradio UI + CLI · SFT/DPO/ORPO/KTO/GRPO/reward models · distillation, vision & embedding models · Unsloth 2-5× · QLoRA · multi-GPU (FSDP/DeepSpeed) · GGUF/FP8 export · vLLM & llama.cpp serving · benchmarks & LLM-judge eval · Heretic Mode
Natural language control for Python CLI tools using locally-trained SLMs (CPU inference)
Local-first desktop assistant for the whole job hunt — scrape listings, match with a local LLM, generate applications in your own voice, and track everything on a Kanban board.
Turn someone’s chat history into a chatbot that talks like them. Extract the personality, fine-tune it, and run the result locally. Uses Colab CLI and Pixeldrain for off-host model training and extraction
Create your own local code autocomplete model, fine-tuned on your custom code repository, for use in editors like VS Code or Neovim.
Adversarial LLM arena using GRPO + SFT to train a model that generates questions hard LLMs can't solve
Finetune Web UI is a user-interface for training and deploying pre-trained models.
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