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Starred repositories
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers. Support deepseek-r1
🤖 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…
A Gradio web UI for Large Language Models with support for multiple inference backends.
Distribute and run LLMs with a single file.
Use your locally running AI models to assist you in your web browsing
Let your Claude able to think
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
Make websites accessible for AI agents
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Implementation of the convolutional module from the Conformer paper, for use in Transformers
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
Awesome-LLM: a curated list of Large Language Model
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…
Use PEFT or Full-parameter to finetune 450+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek-R1, ...) and 150+ MLLMs (Qwen2.5-VL, Qwen2-Audio, Llama3.2-Vision, Llava, I…
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Finetune Llama 3.3, DeepSeek-R1, Mistral, Phi-4 & Gemma 2 LLMs 2-5x faster with 70% less memory
Efficiently computes derivatives of NumPy code.
automatic differentiation made easier for C++
🚀🚀 「大模型」3小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 3 hours!