unsloth and LlamaFactory
UnSloth optimizes the computational efficiency of fine-tuning through faster training and reduced VRAM usage, while LlamaFactory provides the unified framework and model support for configuring and executing those fine-tuning jobs, making them complementary tools that work together in a fine-tuning pipeline.
About unsloth
unslothai/unsloth
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
This tool helps AI engineers and researchers efficiently customize large language models (LLMs) and other AI models for specific tasks. You can input various data formats like PDFs, CSVs, and DOCX files to fine-tune models such as GPT-OSS, Llama, or Gemma. The output is a specialized AI model that performs better on your unique data, with significantly faster training and reduced memory use.
About LlamaFactory
hiyouga/LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
This tool helps researchers, data scientists, and ML engineers customize large language models for specific tasks. You input an existing large language model and your own specialized dataset, and it outputs a fine-tuned model that performs better on your unique data or problem. It's designed for anyone who needs to adapt powerful AI models without deep programming.
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