NVIDIA / NeMo-Curator
Scalable data pre processing and curation toolkit for LLMs
☆885Updated this week
Alternatives and similar repositories for NeMo-Curator:
Users that are interested in NeMo-Curator are comparing it to the libraries listed below
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆1,462Updated this week
- Scalable toolkit for efficient model alignment☆770Updated last week
- Minimalistic large language model 3D-parallelism training☆1,808Updated this week
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,659Updated this week
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,360Updated last week
- An Open Source Toolkit For LLM Distillation☆579Updated 3 months ago
- Recipes to scale inference-time compute of open models☆1,058Updated 2 months ago
- ☆515Updated 5 months ago
- [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling☆865Updated 2 months ago
- OLMoE: Open Mixture-of-Experts Language Models☆723Updated last month
- Best practices for distilling large language models.☆526Updated last year
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,463Updated 2 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,251Updated this week
- DataComp for Language Models☆1,279Updated last month
- Minimalistic 4D-parallelism distributed training framework for education purpose☆991Updated last month
- Evaluate your LLM's response with Prometheus and GPT4 💯☆911Updated last month
- Official repository for ORPO☆448Updated 10 months ago
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆681Updated last month
- [NeurIPS'24 Spotlight, ICLR'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which r…☆985Updated this week
- Automatic evals for LLMs☆373Updated this week
- Official implementation of Half-Quadratic Quantization (HQQ)☆791Updated this week
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤☆1,012Updated 2 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆719Updated 7 months ago
- ☆713Updated last month
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆833Updated this week
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,818Updated last year
- Generative Representational Instruction Tuning☆623Updated last month
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆2,962Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,242Updated last month
- LLM KV cache compression made easy☆463Updated last week