Havuz

Locally fine-tuned Russian RAG models: document splitter, query expansion, retrieval embedder. Teacher distillation → GGUF → llama.cpp on AM

AI model that animates any SVG into Lottie with 3-4x fewer tokens than OmniLottie (CVPR 2026). Upload SVG → get animated .lottie. 3B model,

MiniMax H3 video generation on 2080Ti 22G (Turing sm_75) - field-tested handbook, workflows & FAQ

A NPC AI Framework , based on character personalities, can be used for game NPC (extendable for Godot / Unity)

Asking for What Was Never Requested: horizontal and vertical proactivity in LLM agents. Need-graph metrics (no LLM judge) and Q&D, which tra

Studio for whole videos and asset generation on your own PC or Mac: images, video with sound, voice, music and 3D models, all local. Free (M

CPU-first, eager-execution tensor/autograd runtime and LLM inference engine written in pure Zig

一个开箱即用、用于二分类任务的大语言微调模型框架。An out-of-the-box LLM fine-tuning framework for medical binary classification.

Fine-tune Qwen2.5-Coder-7B for free (QLoRA on Kaggle T4) and run a local coding agent that runs your code instead of guessing — 8 GB Mac, ll

Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA,

Train JEV-style System 1 decision models on Qwen3.5 and Qwen3.8-27B: 24-slot decision head, KL distillation, calibration and serving. 在 Qwen

A user's facts become a few rows in a content-addressed memory table — not a rewrite of the model. Paper, code, data, and interactive site f

Native macOS app for local AI image generation and editing on Apple silicon: Z-Image Turbo, Qwen-Image-2.1, Krea 2 Turbo, Anima Turbo and MO

NeuralForge is an end-to-end LLM fine-tuning & serving platform. It leverages LoRA (PyTorch/Hugging Face) for domain adaptation, cutting err

Compile natural-language function descriptions into reusable local PAW programs.

FDSpeech: Fréchet-distance-guided four-step VoxCPM2 speech synthesis

Raise your own dragon: fine-tune a language model on your own documents, from R. Writes the training data, trains on your laptop, RAG built

Sydney: Fine-tuned model, companion novel, and philosophical inquiries.

五引擎语音合成：VoxCPM2 / IndexTTS 2.5 / 2.0 / OpenVoice / Step-Audio-EditX，声音克隆、声音设计、剧本配音、流式生成，中英日韩界面 | Multi-engine TTS (5 engines): voice cloning

Whisper-large-v3 fine-tune for Indonesian + Javanese + Sundanese ASR. Lhotse + k2 lattice rescoring pipeline.

Training-data memorization auditor for fine-tuned LLMs — Trainer/TRL plugin, canary MIA + regurgitation audit, Apache-2.0

Distil an expensive LLM API call on a narrow task into a small local model: capture traffic, curate, LoRA fine-tune with MLX on Apple Silico

ComfyUI custom nodes for 180+ hosted AI models: Seedance, Kling, Wan, MiniMax H3, Vidu, LTX, Suno, GPT Image, Nano Banana, Seedream, FLUX Lo