allenai / dolmaLinks
Data and tools for generating and inspecting OLMo pre-training data.
☆1,311Updated this week
Alternatives and similar repositories for dolma
Users that are interested in dolma are comparing it to the libraries listed below
Sorting:
- ☆538Updated 9 months ago
- Train Models Contrastively in Pytorch☆744Updated 5 months ago
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆1,890Updated this week
- Generative Representational Instruction Tuning☆671Updated 2 months ago
- distributed trainer for LLMs☆580Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,598Updated last year
- Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI☆1,400Updated last year
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,580Updated 2 weeks ago
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆2,004Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆884Updated last month
- DataComp for Language Models☆1,367Updated this week
- Minimalistic large language model 3D-parallelism training☆2,191Updated last week
- Scalable toolkit for efficient model alignment☆839Updated last month
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆745Updated 11 months ago
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,849Updated last month
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆711Updated last year
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,511Updated 7 months ago
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,878Updated this week
- Best practices for distilling large language models.☆574Updated last year
- A repository for research on medium sized language models.☆510Updated 3 months ago
- Evaluation suite for LLMs☆359Updated 2 months ago
- AllenAI's post-training codebase☆3,166Updated this week
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤☆1,057Updated 7 months ago
- Recipes to scale inference-time compute of open models☆1,111Updated 3 months ago
- Official repository for ORPO☆465Updated last year
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,489Updated 2 years ago
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆765Updated 5 months ago
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆962Updated 10 months ago
- Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".☆639Updated last month
- Codebase for Merging Language Models (ICML 2024)☆846Updated last year