mlabonne / llm-autoevalLinks
Automatically evaluate your LLMs in Google Colab
☆658Updated last year
Alternatives and similar repositories for llm-autoeval
Users that are interested in llm-autoeval are comparing it to the libraries listed below
Sorting:
- A library for easily merging multiple LLM experts, and efficiently train the merged LLM.☆491Updated last year
- Banishing LLM Hallucinations Requires Rethinking Generalization☆276Updated last year
- Toolkit for attaching, training, saving and loading of new heads for transformer models☆285Updated 6 months ago
- Evaluate your LLM's response with Prometheus and GPT4 💯☆981Updated 4 months ago
- awesome synthetic (text) datasets☆296Updated 2 months ago
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤☆1,057Updated 7 months ago
- LLM Workshop by Sourab Mangrulkar☆394Updated last year
- Domain Adapted Language Modeling Toolkit - E2E RAG☆327Updated 10 months ago
- Guide for fine-tuning Llama/Mistral/CodeLlama models and more☆620Updated 4 months ago
- ☆538Updated 9 months ago
- [ACL'25] Official Code for LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs☆314Updated 2 months ago
- ☆446Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆711Updated last year
- Generate textbook-quality synthetic LLM pretraining data☆505Updated last year
- Fast & more realistic evaluation of chat language models. Includes leaderboard.☆188Updated last year
- Official repository for ORPO☆465Updated last year
- An Open Source Toolkit For LLM Distillation☆721Updated 2 months ago
- Best practices for distilling large language models.☆574Updated last year
- A compact LLM pretrained in 9 days by using high quality data☆323Updated 5 months ago
- In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.☆434Updated last year
- ☆679Updated 4 months ago
- 🤗 Benchmark Large Language Models Reliably On Your Data☆391Updated last week
- Starter pack for NeurIPS LLM Efficiency Challenge 2023.☆125Updated 2 years ago
- ☆461Updated last year
- A bagel, with everything.☆324Updated last year
- A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.☆789Updated last month
- This is our own implementation of 'Layer Selective Rank Reduction'☆240Updated last year
- A set of scripts and notebooks on LLM finetunning and dataset creation☆110Updated 11 months ago
- Easily embed, cluster and semantically label text datasets☆567Updated last year
- Build datasets using natural language☆523Updated 4 months ago