Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"
bitsandbytes 开源项目推荐(142 个)
bitsandbytes 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 142 个仓库Single-GPU LLM fine-tuning preflight: memory estimates, runnable LoRA/QLoRA recipes, and local measurements.
🦖 X—LLM:前沿与简易LLM精炼
Windows-only version of ComfyUI which uses AMD's official ROCm and PyTorch libraries to get better performance with AMD GPUs. [auto-installation and popular performance enhancing packages like triton * sage-attention * flash-attention * bitsandbytes included ]
Nodes to run Hunyuan Image 3 locally with BF16 and NF4 quantized options in Comfyui
Instruction Fine-Tuning of Meta Llama 3.2-3B Instruct on Kannada Conversations. Tailoring the model to follow specific instructions in Kannada, enhancing its ability to generate relevant, context-aware responses based on conversational inputs. Using the Kannada Instruct dataset for fine-tuning! Happy Finetuning 🎋
A "standard library" of Triton kernels.
Running small but capable language models entirely offline
vLLM for nVidia Volta (sm_70)
Open source RAG with Llama Index for Japanese LLM in low resource settting
Orca 2 on Colab
A web app that allows you to select a subject and then change its background, OR keep the background and change the subject.
Single-GPU post-training pipeline for Qwen3-8B math reasoning. Combines QLoRA SFT, DPO, and GRPO with verifiable rewards (correctness + format + length). Seven Colab notebooks, +6pp GSM8K from SFT alone
bitsandbytes modify for jetson orin
LLM-Lora-PEFT_accumulate explores optimizations for Large Language Models (LLMs) using PEFT, LORA, and QLORA. Contribute experiments and implementations to enhance LLM efficiency. Join discussions and push the boundaries of LLM optimization. Let's make LLMs more efficient together!
🎯 Fine-tune large language models and use them for text-related tasks. This repository provides a straightforward approach to fine-tuning models like Gemma, Llama 🦙, and Mistral 🌪️ for various NLP tasks. 🔧 It includes training 📚, fine-tuning 🛠️, and inference pipelines ⚙️. 🚀
In this project, I have provided code and a Colaboratory notebook that facilitates the fine-tuning process of an Alpaca 3B parameter model originally developed at Stanford University. The model was adapted using LoRA to run with fewer computational resources and training parameters and used HuggingFace's PEFT library.
Check compatibility between torch, cuda, triton, xformers, and bitsandbytes.
ROCm/Unsloth/bitsandbytes 4-bit lab and VRAM benchmarks for AMD MI50/gfx906 LLM fine-tuning
FR3 robot in Gazebo integrated with 4-bit quantized OpenVLA and MoveIt
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/bitsandbytes。
- 该话题在 GitHub 上共有 142 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
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- 当前 20 个项目累计 2701 Star,覆盖 4 种主要语言,数据更新于 2026-11-10。
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