bitsandbytes-foundation / bitsandbytesLinks
Accessible large language models via k-bit quantization for PyTorch.
β7,845Updated last week
Alternatives and similar repositories for bitsandbytes
Users that are interested in bitsandbytes are comparing it to the libraries listed below
Sorting:
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.β5,007Updated 8 months ago
- π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (iβ¦β9,398Updated this week
- QLoRA: Efficient Finetuning of Quantized LLMsβ10,786Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Accelerationβ3,389Updated 5 months ago
- Transformer related optimization, including BERT, GPTβ6,370Updated last year
- Fast and memory-efficient exact attentionβ21,196Updated this week
- Hackable and optimized Transformers building blocks, supporting a composable construction.β10,201Updated last week
- Train transformer language models with reinforcement learning.β16,722Updated this week
- π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.β20,307Updated this week
- π Accelerate inference and training of π€ Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimizationβ¦β3,215Updated 2 weeks ago
- Tools for merging pretrained large language models.β6,611Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".β2,239Updated last year
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:β2,296Updated 7 months ago
- Large Language Model Text Generation Inferenceβ10,709Updated last week
- 4 bits quantization of LLaMA using GPTQβ3,080Updated last year
- PyTorch native post-training libraryβ5,619Updated this week
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"β13,093Updated last year
- A framework for few-shot evaluation of language models.β10,976Updated this week
- Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adβ¦β6,091Updated 5 months ago
- Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.β6,169Updated 4 months ago
- Ongoing research training transformer models at scaleβ14,602Updated last week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hβ¦β3,007Updated last week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.β2,083Updated 5 months ago
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)β4,732Updated last year
- Aligning pretrained language models with instruction data generated by themselves.β4,543Updated 2 years ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabiliβ¦β3,795Updated last week
- Simple, safe way to store and distribute tensorsβ3,557Updated this week
- The RedPajama-Data repository contains code for preparing large datasets for training large language models.β4,905Updated last year
- The hub for EleutherAI's work on interpretability and learning dynamicsβ2,691Updated last month
- Go ahead and axolotl questionsβ10,974Updated this week