Reverse Dependencies of bitsandbytes

The following projects have a declared dependency on bitsandbytes:

• img2tags — no summary
• impetus — An awesome tool/library benchmark LLM performance on all kinds of hardware!
• indic-eval — A package to make LLM evaluation easier
• indomain — no summary
• inranker — no summary
• instructlab-training — Training Library
• invokeai — An implementation of Stable Diffusion which provides various new features and options to aid the image generation process
• irisml-tasks-llava — Irisml adapter tasks for LLAVA models
• jac-nlp — no summary
• kapipe — A learnable pipeline for knowledge acquisition
• kogitune — The Kogitune 🦊 LLM Project
• KosmosX — Transformers at zeta scales
• langanisa — A langchain, transformers, and attention_sinks wrapper for longform response generation.
• latentsae — LatentSAE: Training and inference for SAEs on embeddings
• lavague-llms-huggingface — HuggingFaceLLM integration for lavague
• lazyllm-llamafactory — Easy-to-use LLM fine-tuning framework
• lighteval — A lightweight and configurable evaluation package
• Lightning — The Deep Learning framework to train, deploy, and ship AI products Lightning fast.
• lightning-fabric — no summary
• lisa-on-cuda — LISA (Reasoning Segmentation via Large Language Model) on cuda, now with huggingface ZeroGPU support!
• litGPT — Hackable implementation of state-of-the-art open-source LLMs
• llama-index-extra-llm — Just a simple extension for LlamaIndex for better apply some llm such as DeepSeek.
• llama-index-packs-zephyr-query-engine — llama-index packs zephyr_query_engine integration
• llama-recipes — Llama-recipes is a companion project to the Llama models. It's goal is to provide examples to quickly get started with fine-tuning for domain adaptation and how to run inference for the fine-tuned models.
• llama-trainer — Llama trainer utility
• llama2-terminal — Llama2 Terminal Tools Project
• llama2-wrapper — Use llama2-wrapper as your local llama2 backend for Generative Agents / Apps
• llamafactory — Easy-to-use LLM fine-tuning framework
• llamafactory-songlab — Easy-to-use LLM fine-tuning framework
• llamagym — Fine-tune LLM agents with online reinforcement learning
• llamatune — Haven's Tuning Library for LLM finetuning
• llava-torch — Towards GPT-4 like large language and visual assistant.
• llm-blender — LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths and weaknesses of multiple open-source large language models (LLMs). LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.
• llm-connect — LLM Connect API
• LLM-keyword-extractor — This is a python package to extract keywords from a given text using LLMs
• llm-lens — llm-lens is a Python package for CV as NLP, where you can run very descriptive image modules on images, and then pass those descriptions to a Large Language Model (LLM) to reason about those images.
• llm-serve — An LLM inference solution to quickly deploy productive LLM service
• llm-toolkit — LLM Finetuning resource hub + toolkit
• llmpool — Large Language Models' pool management library
• llmppl — A package for calculating perplexity using various language models
• llmtuner — Easy-to-use LLM fine-tuning framework
• lm-buddy — Ray-centric library for finetuning and evaluation of (large) language models.
• lm-polygraph — Uncertainty Estimation Toolkit for Transformer Language Models
• lmetric — Large Model Metrics
• lmflow-benchmark — LMFlow: Large Model Flow.
• lmflow-deploy — LMFlow: Large Model Flow.
• lmflow-diffusion — LMFlow: Large Model Flow.
• lmflow-eval — LMFlow: Large Model Flow.
• lmflow-evaluate — LMFlow: Large Model Flow.
• lmflow-evaluator — LMFlow: Large Model Flow.
• lmflow-finetune — LMFlow: Large Model Flow.
• lmflow-finetuner — LMFlow: Large Model Flow.
• lmflow-inference — LMFlow: Large Model Flow.
• lmflow-inferencer — LMFlow: Large Model Flow.
• lmflow-pretrain — LMFlow: Large Model Flow.
• lmflow-pretrainer — LMFlow: Large Model Flow.
• lmflow-vision — LMFlow: Large Model Flow.
• lmquant — This package is used for evaluating large foundation models quantization in deep learning.
• lmwrapper — An object-oriented wrapper around language models with caching, batching, and more.
• local-gemma — no summary
• lodestonegpt — 🤖 Modular Auto-GPT Framework Build For Project Lodestone
• LongNet — LongNet - Pytorch
• loopgpt — Modular Auto-GPT Framework
• mantis-vl — Official Codes for of "MANTIS: Interleaved Multi-Image Instruction Tuning"
• medusa-llm — Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
• mexca — Emotion expression capture from multiple modalities.
• mm-poe — Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models
• mmengine — Engine of OpenMMLab projects
• mmengine-lite — Engine of OpenMMLab projects
• mmengine-open — Engine of OpenMMLab projects
• mmlm — no summary
• moipg — This is a test for my python package upload to pypi
• MovieChat — Long video understanding
• naeural-core — Naeural Core is the backbone of the Naeural Edge Protocol.
• naifu — naifu is designed for training generative models with various configurations and features.
• nataili — Nataili: Multimodal AI Python Library
• nerfstudio — All-in-one repository for state-of-the-art NeRFs
• neural-rag — no summary
• neuralnest — NeuralNest: An open-source personal AI assistant designed for seamless data integration from various sources, offering versatile connections to Language Learning Models (LLMs), enhanced security, and human-in-the-loop options for a personalized AI experience.
• neurosis — A neural network trainer (for weebs)
• nixietune — A semantic search embedding model fine-tuning tool
• nl2query — no summary
• nstm — This is a test for my python package upload to pypi
• oat-llm — Online AlignmenT (OAT) for LLMs.
• olive-ai — Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
• open-gpt-torch — An open-source cloud-native of large multi-modal models (LMMs) serving framework.
• openbb-chat — Deep learning package to add chat capabilities to OpenBB
• openrlhf — A Ray-based High-performance RLHF framework.
• optillm — An optimizing inference proxy for LLMs.
• optimum-benchmark — Optimum-Benchmark is a unified multi-backend utility for benchmarking Transformers, Timm, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.
• owlsight — Owlsight is a commandline tool which combines open-source AI models with Python functionality to create a powerful AI assistant.
• petals — Easy way to efficiently run 100B+ language models without high-end GPUs
• pgsocr — A command line utility for converting Blu-ray subs to SRT or ASS using AI Language Models.
• plotano — no summary
• promptcraft — PromptCraft: A Prompt Perturbation Toolkit for Prompt Robustness Analysis
• psruq-python — Code for uncertainty quantification with proper scoring rules.
• py-dreambooth — Easily create your own AI avatar images!
• pyiqa — PyTorch Toolbox for Image Quality Assessment
• pykoi — pykoi: Active learning in one unified interface
• pyllmsearch — LLM Powered Advanced RAG Application