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🐙 OctoPack: Instruction Tuning Code Large Language Models
A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！
ms-swift: Use PEFT or Full-parameter to finetune 300+ LLMs or 50+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.
Agentless🐱: an agentless approach to automatically solve software development problems
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
A Comprehensive Benchmark for Software Development.
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)
Open sourced predictions, execution logs, trajectories, and results from model inference + evaluation runs on the SWE-bench task.
A Docker based solution of the SWE-bench evaluation framework
Harness used to benchmark aider against SWE Bench benchmarks
aider is AI pair programming in your terminal
Official implementation of paper How to Understand Whole Repository? New SOTA on SWE-bench Lite (21.3%)
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
A Systematic Literature Review on Large Language Models for Automated Program Repair
A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.
A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain
A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 30.67% tasks (pass@1) in SWE-bench lite with each task costs less than $0.7.
A curated list of language modeling researches for code and related datasets.
official repository of aiXcoder-7B Code Large Language Model