Reverse Dependencies of peft

The following projects have a declared dependency on peft:

• adaptor — Adaptor: Objective-centric Adaptation Framework for Language Models.
• africanwhisper — A framework for fast fine-tuning and API endpoint deployment of Whisper model specifically developed to accelerate Automatic Speech Recognition(ASR) for African Languages.
• agentgym — Agent Gym - Pytorch
• ai2-scholar-qa — Python package to embed the Ai2 Scholar QA functionality in another application
• aiforthechurch — Package for training and deploying doctrinally correct LLMs.
• aimet-onnx — AIMET onnx package
• airoboros — Updated and improved implementation of the self-instruct system.
• airunner — A Stable Diffusion GUI
• airunner-nexus — Run a socket server for AI models.
• aistrainer — AI Specialization Trainer for LLM models
• alf-t5 — ALF-T5 - Adaptative Language Framework for T5 is a Machine Learning framework for Neural Machine Translation Systems training and, subsequently, bidirectional translation.
• alignment-handbook — The Alignment Handbook
• alpaca-eval — AlpacaEval : An Automatic Evaluator of Instruction-following Models
• angle-emb — AnglE-optimize Text Embeddings
• apiprompting — Package for an easy implementation of paper "Attention Prompting on Image for Large Vision-Language Models".
• arbor-ai — A framework for fine-tuning and managing language models
• arcee-align — The open source toolkit for finetuning and deploying LLMs
• arctic-training — Snowflake LLM training library
• argilla-v1 — Open-source tool for exploring, labeling, and monitoring data for NLP projects.
• artcraft — Image generation based on diffusers
• Assistant — Your very own Assistant. Because you deserve it.
• atomgpt — atomgpt
• Attention-Maps-Extraction — A package for extracting attention maps.
• auto-gptq — An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
• autobiasdetector — tools for detecting bias patterns of LLMs
• autodistill-florence-2 — Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
• autodistill-paligemma — Auto-label data with a PaliGemma model, or ine-tune a PaLiGemma model using custom data with Autodistill.
• AutoRAG — Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
• autotrain-advanced — no summary
• autotrain-llm — autotrain_llm
• autotransformers — a Python package for automatic training and benchmarking of Language Models.
• axolotl — LLM Trainer
• azureml-acft-accelerator — Contains the acft accelerator package used in script to build the azureml components.
• azureml-acft-image-components — Contains the code for vision model's components.
• baseballcv — A collection of tools and models designed to aid in the use of Computer Vision in baseball.
• bayesian-lora — Bayesian LoRA adapters for Language Models
• be-great-v — (A Fork)Generating Realistic Tabular Data using Large Language Models
• beevibe — A lightweight framework for training and deploying language models for thematic text classification.
• beir — A Heterogeneous Benchmark for Information Retrieval
• bellem — My personal library
• beprepared — no summary
• biomed-multi-alignment — MAMMAL (Molecular Aligned Multi-Modal Architecture and Language), a flexible, multi-domain architecture with an adaptable task prompt syntax.
• bioseba — no summary
• bloombee — A short description of your project
• caikit-nlp — Caikit NLP
• cappr — Completion After Prompt Probability. Make your LLM make a choice
• cehrbert — CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
• cehrgpt — CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines
• closedmindedness — Text classifier of closed-mindedness
• codemmlu — CodeMMLU Evaluator: A framework for evaluating language models on CodeMMLU benchmark.
• collie-lm — CoLLiE: Collaborative Training of Large Language Models in an Efficient Way
• colpali-engine — The code used to train and run inference with the ColPali architecture.
• comfyui — An installable version of ComfyUI
• competitions — Hugging Face Competitions
• composer — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• continuing-education — System to ease incremental training of a Huggingface transformer model from a large S3-based dataset
• cornstarch — A multimodal model training toolkit
• cycleformers — A comprehensive implementation of the cycle-consistency training paradigm, extending the Huggingface Transformers trainer API to accommodate arbitrary combinations of generative models.
• cyphertune — A Trainer for Fine-tuning LLMs for Text-to-Cypher Datasets
• dallm — Domain Adapted Language Model
• dalpha-ai — no summary
• dalpha-ai-cpu — no summary
• danoliterate — Benchmark of Generative Large Language Models in Danish
• datadreamer.dev — Prompt. Generate Synthetic Data. Train & Align Models.
• dataquality — no summary
• dbgpt-hub — DB-GPT-Hub: Text-to-SQL parsing with LLMs
• dev-laiser — LAiSER (Leveraging Artificial Intelligence for Skill Extraction & Research) is a tool designed to help learners, educators, and employers extract and share trusted information about skills. It uses a fine-tuned language model to extract raw skill keywords from text, then aligns them with a predefined taxonomy. You can find more technical details in the project’s paper.md and an overview in the README.md.
• dgenerate — Batch image generation and manipulation tool supporting Stable Diffusion and related techniques / algorithms, with support for video and animated image processing.
• diffusers — State-of-the-art diffusion in PyTorch and JAX.
• distllm — Distributed Inference for Large Language Models.
• ditty — no summary
• dora-qwen2-5-vl — Dora Node for VLM
• dora-qwenvl — Dora Node for VLM
• dreamsim — DreamSim similarity metric
• easyeditor — easyeditor - Editing Large Language Models
• extralit — Open-source tool for accurate & fast scientific literature data extraction with LLM and human-in-the-loop.
• ezsmdeploy — Amazon SageMaker and Bedrock custom model deployments made easy
• factory-sdk — factory SDK
• fastckpt — A fast gradient checkpointing strategy for training with memory-efficient attention (e.g., FlashAttention).
• fastllama-python-test — no summary
• fastvideo — FastVideo
• fate-llm — Federated Learning for Large Language Models
• fed-rag — A framework for federated fine-tuning of retrieval-augmented generation (RAG) systems.
• fedem — A decentralized framework to train foundational models
• fedml — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• fin-art — A module for generating stylistic images
• finetrainers — Finetrainers is a work-in-progress library to support (accessible) training of diffusion models
• finetuna — no summary
• FineTune-Mistral — A package for fine-tuning Mistral model and generating responses.
• FineTune-Uunsloth-Mistral-7b — A package for fine-tuning Mistral model and generating responses.
• finetuning-suite — A fine-tuning suite based on Transformers and LoRA.
• fireredasr — FireRed ASR
• flashrag-dev — A library for efficient Retrieval-Augmented Generation research
• flashvideo — flashvideo is a lightweight framework for accelerating large video diffusion models.
• flexeval — no summary
• fm-training-estimator — A package of Estimators for Large Language Model Training.
• fms-acceleration — FMS Acceleration Plugin Framework
• fms-hf-tuning — FMS HF Tuning
• fmtr.tools — Collection of high-level tools to simplify everyday development tasks, with a focus on AI/ML
• fp8-coat — https://arxiv.org/abs/2410.19313. COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training