Emerald IV
1,793 Elo
- #1,435 on the ladder
- −2 today · −3 this week
- Peak 1,805
Ongoing research training transformer models at scale
NVIDIA/Megatron-LM is #1,435 on the bestofgithub Elo ladder, in Emerald IV, with a rating of 1,793 (−3 this week). It has 18,406 stars, 57 gained in the last week.
1,793 Elo
18,406
git clone https://github.com/NVIDIA/Megatron-LM.gitA straightforward method for training your LLM, from downloading data to generating text.
git clone https://github.com/FareedKhan-dev/train-llm-from-scratch.gitA series of large language models trained from scratch by developers @01-ai
git clone https://github.com/01-ai/Yi.gitAccelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
git clone https://github.com/intel/ipex-llm.gitAutomated Penetration Testing Agentic Framework Powered by Large Language Models
pipx install pentestgptThe official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
git clone https://github.com/QwenLM/Qwen-VL.gitAn Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
git clone https://github.com/OpenRLHF/OpenRLHF.gitLoading README…