allenai / dolmaLinks
Data and tools for generating and inspecting OLMo pre-training data.
☆1,296Updated last week
Alternatives and similar repositories for dolma
Users that are interested in dolma are comparing it to the libraries listed below
Sorting:
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆1,820Updated last week
- ☆536Updated 9 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆879Updated last month
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,579Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,584Updated last year
- Minimalistic large language model 3D-parallelism training☆2,130Updated last month
- distributed trainer for LLMs☆578Updated last year
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,554Updated last week
- Train Models Contrastively in Pytorch☆738Updated 4 months ago
- Scalable toolkit for efficient model alignment☆837Updated 3 weeks ago
- Generative Representational Instruction Tuning☆664Updated last month
- Evaluation suite for LLMs☆358Updated last month
- AllenAI's post-training codebase☆3,116Updated this week
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆1,980Updated last year
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,838Updated 2 weeks ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,272Updated 5 months ago
- Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI☆1,398Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆739Updated 10 months ago
- Official repository for ORPO☆462Updated last year
- DataComp for Language Models☆1,351Updated 2 weeks ago
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,849Updated last week
- Recipes to scale inference-time compute of open models☆1,112Updated 3 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆708Updated last year
- Code for Quiet-STaR☆737Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆957Updated 10 months ago
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,192Updated last year
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,507Updated 6 months ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,035Updated 2 years ago
- ☆1,033Updated 8 months ago
- A repository for research on medium sized language models.☆509Updated 2 months ago