#151 · +282 · 1d ·GitHub
This repository provides a native MOSS-Image plugin for ComfyUI.
Global
5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
AirLLM dramatically reduces inference memory usage, letting 70B large language models run on a single 4GB GPU card — without quantization, distillation, or pruning. 8-Flash-Next (125B) on 6GB, and DeepSeek-V3 (671B) on 12GB. 8-Flash-Next (125B) under 6GB.
WanGP by DeepBeepMeep : The best Open Source Generative Models Accessible to the GPU Poor
Fine-tune an 8B model on a 4 GB laptop GPU. Layer streaming keeps the frozen base out of VRAM and feeds it to the GPU one decoder layer at a time. 32 GB.
A high-throughput and memory-efficient inference and serving engine for LLMs
pth） - 支持跨不同 GPU 数量恢复（自动调整 step） - 支持 wandb 训练记录连续性（自动恢复同一个 run）
#576 · +63 · 1d ·GitHub
This repository contains the code for developing, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch).
FreeVideo is a local inference engine for MiniMax H3 on consumer GPUs, built on OpenVDN's 8-step VDN-H3 model with Video DeltaNet's hybrid attention.
VoxCPM is a tokenizer-free Text-to-Speech system that directly generates continuous speech representations via an end-to-end diffusion autoregressive architecture, bypassing discrete tokenization to achieve highly natural and expressive synthesis.
#787 · +42 · 1d ·GitHub
🌉 At its core lies a novel hybrid architecture where the Language Model (LM) functions as an omni-capable planner: it transforms simple user queries into comprehensive song blueprints—scaling from short loops to 10-minute compositions—while synthesizing metadata, lyrics, and…
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Local UI to run and train LLMs and diffusion models. 8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
#990 · +31 · 1d ·GitHub
🐧 PenguinHarness: Local-first multi-agent app development platform - create, fine-tune, deploy AI apps automatically!
#1100 · +28 · 1d ·GitHub
The all-in-one local AI studio for your desktop: chat, image and video generation and a coding agent in one free, open source app. Windows and Linux. No Docker, no terminal, no cloud required.
#1199 · +25 · 1d ·GitHub
🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
#1439 · +19 · 1d ·GitHub
If your system is very new, you need to install python3.11 or python3.10:
AI联网搜索、文件解析及网页内容抓取等智能体核心能力提供商： 安思派开放平台(Anspire Open)是面向智能体时代的领先的基础设施提供商。我们为开发者提供构建强大智能体所需的核心能力栈，现已上线AI联网搜索【多版本，极具竞争力的价格】、文件解析【限免】及网页内容抓取【限免】、云端浏览器自动化（Anspire Browser Agent）【内测】、多轮改写等服务，持续为智能体连接并操作复杂的数字世界提供坚实基础。可无缝集成至Dify、Coze、元器等主流智能体平台。通过透明点数计费体系与模块化设计，为企业提供高效、低成本的定制化支持，加速智能化升级…
> 第八章聚焦 GRPO、OPD、Search-R1 与 ReTool。更多 Agentic RL 算法、训练代码与实验实践，可以前往作者持续维护的另一个仓库 agentic-rl-lab；该仓库更新频率更高，会持续跟进新的算法与环境。
Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
openpi holds open-source models and packages for robotics, published by the Physical Intelligence team.
#1953 · +13 · 1d ·GitHub
OBLITERATUS is the most advanced open-source toolkit for understanding and removing refusal behaviors from large language models — and every single run makes it smarter.
#2182 · +11 · 1d ·GitHub
AI Toolkit is an easy to use all in one training suite for diffusion models. I try to support all the latest models on consumer grade hardware. Image and video models.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
#2360 · +9 · 1d ·GitHub
This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
Fine-tuning large pretrained models is often prohibitively costly due to their scale.
A comprehensive library to post-train foundation models
LTX-2 is the first DiT-based audio-video foundation model that contains all core capabilities of modern video generation in one model. LTX-2 is now the primary home for LTX development and includes significant improvements:
LTX-2 is the first DiT-based audio-video foundation model that contains all core capabilities of modern video generation in one model: synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access.