1.hiyouga / LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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12 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Semtech SX126X LoRa driver for Micropython and CircuitPython.
MicroPython LoRa EBYTE E22 device library complete and tested with Arduino SAMD, esp8266, esp32, Raspberry, rp2040 and STM32. sx1262/sx1268
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
ESP32 using MicroPython meets LoRa and LoRaWAN.
SX127x (LoRa transceiver) driver for (Micro)Python on ESP8266/ESP32/Raspberry_Pi