predibase / llm_distillation_playbookLinks
Best practices for distilling large language models.
☆560Updated last year
Alternatives and similar repositories for llm_distillation_playbook
Users that are interested in llm_distillation_playbook are comparing it to the libraries listed below
Sorting:
- Automatically evaluate your LLMs in Google Colab☆649Updated last year
- Official repository for ORPO☆458Updated last year
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆1,722Updated last week
- An Open Source Toolkit For LLM Distillation☆678Updated last week
- ☆524Updated 7 months ago
- Easily embed, cluster and semantically label text datasets☆556Updated last year
- LLM Workshop by Sourab Mangrulkar☆387Updated last year
- Evaluate your LLM's response with Prometheus and GPT4 💯☆963Updated 2 months ago
- awesome synthetic (text) datasets☆289Updated last week
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,495Updated 5 months ago
- Generative Representational Instruction Tuning☆658Updated 3 weeks ago
- A collection of LogitsProcessors to customize and enhance LLM behavior for specific tasks.☆315Updated last week
- ☆673Updated 2 months ago
- Toolkit for attaching, training, saving and loading of new heads for transformer models☆282Updated 4 months ago
- A reading list on LLM based Synthetic Data Generation 🔥☆1,338Updated last month
- Automatic evals for LLMs☆467Updated 3 weeks ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆868Updated 3 weeks ago
- ☆1,247Updated 4 months ago
- Recipes to scale inference-time compute of open models☆1,106Updated last month
- ☆1,027Updated 7 months ago
- Automated Evaluation of RAG Systems☆624Updated 3 months ago
- A library for easily merging multiple LLM experts, and efficiently train the merged LLM.☆485Updated 10 months ago
- Train Models Contrastively in Pytorch☆728Updated 3 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆701Updated last year
- List of papers on hallucination detection in LLMs.☆916Updated last month
- System 2 Reasoning Link Collection☆843Updated 4 months ago
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤☆1,031Updated 5 months ago
- An open collection of methodologies to help with successful training of large language models.☆502Updated last year
- A comprehensive guide to LLM evaluation methods designed to assist in identifying the most suitable evaluation techniques for various use…☆123Updated last week
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆806Updated this week