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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
AirLLM 70B inference with single 4GB GPU
Accessible large language models via k-bit quantization for PyTorch.
Firefly: ๅคงๆจกๅ่ฎญ็ปๅทฅๅ ท๏ผๆฏๆ่ฎญ็ปQwen2.5ใQwen2ใYi1.5ใPhi-3ใLlama3ใGemmaใMiniCPMใYiใDeepseekใOrionใXverseใMixtral-8x7BใZephyrใMistralใBaichuan2ใLlma2ใLlamaใQwenใBaichuanใChatGLM2ใInternLMใZiya2ใVicunaใBloom็ญๅคงๆจกๅ
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Fine-tuning ChatGLM-6B with PEFT | ๅบไบ PEFT ็้ซๆ ChatGLM ๅพฎ่ฐ
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) ๅคงๆจกๅ้ซๆ้ๅ่ฎญ็ป+้จ็ฝฒ.
CLI & MCP server for Tuning Engines โ fine-tune LLMs on code repositories