Alternatives and similar repositories for distilabel

Users that are interested in distilabel are comparing it to the libraries listed below

• huggingface / lighteval
  Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
  ☆2,233Updated this week
• huggingface / datatrove
  Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
  ☆2,812Updated this week
• allenai / open-instruct
  AllenAI's post-training codebase
  ☆3,515Updated this week
• stanfordnlp / pyreft
  Stanford NLP Python library for Representation Finetuning (ReFT)
  ☆1,551Updated this week
• AnswerDotAI / rerankers
  A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
  ☆1,586Updated 3 weeks ago
• datadreamer-dev / DataDreamer
  DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤
  ☆1,087Updated 11 months ago
• predibase / lorax
  Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
  ☆3,661Updated 7 months ago
• BatsResearch / bonito
  A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
  ☆816Updated 5 months ago
• bespokelabsai / curator
  Synthetic data curation for post-training and structured data extraction
  ☆1,595Updated this week
• AnswerDotAI / ModernBERT
  Bringing BERT into modernity via both architecture changes and scaling
  ☆1,607Updated 6 months ago
• noamgat / lm-format-enforcer
  Enforce the output format (JSON Schema, Regex etc) of a language model
  ☆1,976Updated 4 months ago
• prometheus-eval / prometheus-eval
  Evaluate your LLM's response with Prometheus and GPT4 💯
  ☆1,029Updated 8 months ago
• zou-group / textgrad
  TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
  ☆3,266Updated 5 months ago
• arcee-ai / mergekit
  Tools for merging pretrained large language models.
  ☆6,673Updated last week
• gkamradt / LLMTest_NeedleInAHaystack
  Doing simple retrieval from LLM models at various context lengths to measure accuracy
  ☆2,137Updated last year
• philschmid / deep-learning-pytorch-huggingface
  ☆1,335Updated 10 months ago
• arcee-ai / DistillKit
  An Open Source Toolkit For LLM Distillation
  ☆819Updated 3 weeks ago
• maitrix-org / llm-reasoners
  A library for advanced large language model reasoning
  ☆2,319Updated 7 months ago
• IntelLabs / fastRAG
  Efficient Retrieval Augmentation and Generation Framework
  ☆1,756Updated last year
• huggingface / nanotron
  Minimalistic large language model 3D-parallelism training
  ☆2,407Updated last month
• trotsky1997 / MathBlackBox
  ☆1,035Updated last year
• NousResearch / Hermes-Function-Calling
  ☆1,173Updated 2 weeks ago
• McGill-NLP / llm2vec
  Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
  ☆1,634Updated last month
• wasiahmad / Awesome-LLM-Synthetic-Data
  A reading list on LLM based Synthetic Data Generation 🔥
  ☆1,496Updated 7 months ago
• huggingface / search-and-learn
  Recipes to scale inference-time compute of open models
  ☆1,123Updated 7 months ago
• xhluca / bm25s
  Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy
  ☆1,444Updated 2 weeks ago
• embeddings-benchmark / mteb
  MTEB: Massive Text Embedding Benchmark
  ☆3,066Updated this week
• predibase / llm_distillation_playbook
  Best practices for distilling large language models.
  ☆596Updated last year
• AIDC-AI / Marco-o1
  An Open Large Reasoning Model for Real-World Solutions
  ☆1,535Updated 7 months ago
• huggingface / evaluation-guidebook
  Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard a…
  ☆2,029Updated last month