Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
☆3,199Apr 27, 2026Updated last week
Alternatives and similar repositories for distilabel
Users that are interested in distilabel are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets☆4,954Apr 27, 2026Updated last week
- Tools for merging pretrained large language models.☆7,052Mar 15, 2026Updated last month
- Robust recipes to align language models with human and AI preferences☆5,593Apr 8, 2026Updated 3 weeks ago
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆3,033Apr 20, 2026Updated 2 weeks ago
- Go ahead and axolotl questions☆11,842Updated this week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆2,396Apr 17, 2026Updated 2 weeks ago
- Fully open reproduction of DeepSeek-R1☆26,016Apr 2, 2026Updated last month
- Minimalistic large language model 3D-parallelism training☆2,674Apr 7, 2026Updated last month
- Train transformer language models with reinforcement learning.☆18,282Updated this week
- Structured Outputs☆13,776Apr 16, 2026Updated 3 weeks ago
- Build datasets using natural language☆575Sep 19, 2025Updated 7 months ago
- A framework for few-shot evaluation of language models.☆12,411Apr 30, 2026Updated last week
- DSPy: The framework for programming—not prompting—language models☆34,180Updated this week
- Synthetic data curation for post-training and structured data extraction☆1,674Apr 18, 2026Updated 2 weeks ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- SGLang is a high-performance serving framework for large language models and multimodal models.☆26,832Updated this week
- ☆567Nov 20, 2024Updated last year
- Large Language Model Text Generation Inference☆10,848Mar 21, 2026Updated last month
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤☆1,113Feb 2, 2025Updated last year
- Curated list of datasets and tools for post-training.☆4,531Apr 29, 2026Updated last week
- Web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.☆63,536Updated this week
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,918May 17, 2025Updated 11 months ago
- AllenAI's post-training codebase☆3,708Updated this week
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆852Mar 17, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.☆13,337Updated this week
- PyTorch native post-training library☆5,750Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆78,979Updated this week
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆3,771May 21, 2025Updated 11 months ago
- Efficient Triton Kernels for LLM Training☆6,331Apr 30, 2026Updated last week
- A reading list on LLM based Synthetic Data Generation 🔥☆1,534Jun 5, 2025Updated 11 months ago
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.☆1,613Dec 20, 2025Updated 4 months ago
- verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework☆21,046Apr 30, 2026Updated last week
- Automatically evaluate your LLMs in Google Colab☆688May 7, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- awesome synthetic (text) datasets☆330Jan 8, 2026Updated 3 months ago
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆21,052May 1, 2026Updated last week
- Supercharge Your LLM Application Evaluations 🚀☆13,785Feb 24, 2026Updated 2 months ago
- A guidance language for controlling large language models.☆21,420Apr 10, 2026Updated 3 weeks ago
- An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Asy…☆9,441Updated this week
- Efficient few-shot learning with Sentence Transformers☆2,728Apr 17, 2026Updated 2 weeks ago
- Accessible large language models via k-bit quantization for PyTorch.☆8,178Updated this week