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Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.
Must-read Papers on Knowledge Editing for Large Language Models.
Easily train AlphaZero-like agents on any environment you want!
Reference implementation of Megalodon 7B model
GPS Setter
Connect your devices into a secure WireGuard®-based overlay network with SSO, MFA and granular access controls.
Secrets of RLHF in Large Language Models Part I: PPO
Dynamic Parameter Merging and Training Method Optimization for Large Language Models
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
Graph Convolutional Transformer implemented in pytorch
[ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data generation pipeline!
Llama3-Tutorial（XTuner、LMDeploy、OpenCompass）
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Question and Answer based on Anything.
🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transf…
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
fastllm是后端无依赖的高性能大模型推理库。同时支持张量并行推理稠密模型和混合模式推理MOE模型，任意10G以上显卡即可推理满血DeepSeek。双路9004/9005服务器+单显卡部署DeepSeek满血满精度原版模型，单并发20tps；INT4量化模型单并发30tps，多并发可达60+。
AinD: Android in Docker. Ain't an emulator.
redroid (Remote-Android) is a multi-arch, GPU enabled, Android in Cloud solution. Track issues / docs here