predibase / llm_distillation_playbookLinks
Best practices for distilling large language models.
☆569Updated 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
- Evaluate your LLM's response with Prometheus and GPT4 💯☆978Updated 3 months ago
- Official repository for ORPO☆461Updated last year
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆1,793Updated this week
- ☆529Updated 8 months ago
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,503Updated 6 months ago
- awesome synthetic (text) datasets☆291Updated last month
- Easily embed, cluster and semantically label text datasets☆560Updated last year
- An Open Source Toolkit For LLM Distillation☆703Updated 3 weeks ago
- Generative Representational Instruction Tuning☆664Updated last month
- Starter pack for NeurIPS LLM Efficiency Challenge 2023.☆125Updated last year
- Automated Evaluation of RAG Systems☆637Updated 4 months ago
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤☆1,041Updated 6 months ago
- Toolkit for attaching, training, saving and loading of new heads for transformer models☆284Updated 5 months ago
- A reading list on LLM based Synthetic Data Generation 🔥☆1,379Updated 2 months ago
- LLM Workshop by Sourab Mangrulkar☆388Updated last year
- A comprehensive guide to LLM evaluation methods designed to assist in identifying the most suitable evaluation techniques for various use…☆130Updated this week
- Automatic evals for LLMs☆496Updated last month
- ☆677Updated 3 months ago
- Train Models Contrastively in Pytorch☆732Updated 4 months ago
- ☆1,028Updated 7 months ago
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.☆508Updated this week
- Recipes to scale inference-time compute of open models☆1,110Updated 2 months ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆809Updated last week
- A collection of LogitsProcessors to customize and enhance LLM behavior for specific tasks.☆332Updated 3 weeks ago
- A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.☆785Updated 3 weeks ago
- An open collection of methodologies to help with successful training of large language models.☆507Updated last year
- A set of scripts and notebooks on LLM finetunning and dataset creation☆110Updated 10 months ago
- List of papers on hallucination detection in LLMs.☆930Updated last month
- System 2 Reasoning Link Collection☆849Updated 4 months ago