4. Axolotl • Yaml-based setup for fine-tuning, LoRA/QLoRA, DPO, GRPO, and multimodal workflows
• Includes kernel optimizations for memory-efficient training GitHub repo →
OPEN SOURCE
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Axolotl: YAML-Based Fine-Tuning Framework with Memory Optimization
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LLaMA Factory: Fine-tune 100+ Models with LoRA and QLoRA
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2. LLaMA Factory • Fine-tune over 100 models (LLaMA, Mistral, Gemma, etc.) using a simple CLI or WebUI
• Supports LoRA, QLoRA, full or frozen fine-tuning across 2–8‑bit precision GitHub repo → -
DeepSpeed: Distributed Fine-tuning Framework for Large-Scale LLM Training
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3. DeepSpeed • Built for large-scale distributed fine-tuning with ZeRO and FSDP
• Optimized for multi-GPU and multi-node training with advanced memory management
• Trusted in production environments for scalable LLM training GitHub repo → -
Unsloth AI: Fine-tune LLMs 2× faster with 70% less VRAM
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1. Unsloth AI • Fine-tune models like Qwen3, Llama 4, and Gemma 3 up to 2× faster with 70% less VRAM
• Supports low-resource setups and runs on consumer GPUs or even Colab/Kaggle with ~3 GB VRAM GitHub repo → -
Four Open-Source Libraries to Accelerate LLM Fine-Tuning
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4 libraries that accelerates fine-tuning of LLMs (100% open-source)
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Timing Build Derivation from Commit History Analysis
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You can derive the timing of the build from the commit history https://
github.com/simonw/system-
exploration-g/commits/main/
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Qwen3-235B-A22B-Thinking-2507 model released
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Qwen released a new Qwen3-235B-A22B-Thinking-2507 model, which is now available on Qwen Chat as well!
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Hugging Face Celebrates Paper Pages Platform Launch
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https://
huggingface.co/papers/trending and @_akhaliq @NielsRogge @AdinaYakup for their work on HF Paper pages! -
Meta and Partners Launch Papers with Code Successor Platform
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BREAKING: we've partnered with @metaai and @paperswithcode to build a successor to Papers with Code (which was sunsetted yesterday) PWC, founded by @rbstojnic and @rosstaylor90 has been an invaluable resource for AI scientists and engineers over the years (and an inspiration
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TEN Framework: Open Source AI Agent Ecosystem
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开源大侠，要不要了解一下 TEN 全家桶？全部开源 https://
github.com/TEN-framework/
ten-framework?tab=readme-ov-file#-ten-ecosystem
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