VikParuchuri / textbook_qualityLinks
Generate textbook-quality synthetic LLM pretraining data
☆498Updated last year
Alternatives and similar repositories for textbook_quality
Users that are interested in textbook_quality are comparing it to the libraries listed below
Sorting:
- ☆412Updated last year
- A bagel, with everything.☆320Updated last year
- ☆517Updated 6 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆697Updated last year
- Fine-tune mistral-7B on 3090s, a100s, h100s☆711Updated last year
- This repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also included are evaluation scripts and bench…☆586Updated last year
- Code for fine-tuning Platypus fam LLMs using LoRA☆628Updated last year
- [ICLR 2024] Lemur: Open Foundation Models for Language Agents☆548Updated last year
- ☆269Updated 2 years ago
- Domain Adapted Language Modeling Toolkit - E2E RAG☆321Updated 6 months ago
- Fast & more realistic evaluation of chat language models. Includes leaderboard.☆187Updated last year
- ☆536Updated 9 months ago
- Build, evaluate, understand, and fix LLM-based apps☆489Updated last year
- Manage scalable open LLM inference endpoints in Slurm clusters☆257Updated 10 months ago
- In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.☆422Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆421Updated last year
- Inference code for Mistral and Mixtral hacked up into original Llama implementation☆370Updated last year
- Tune any FALCON in 4-bit☆466Updated last year
- A comprehensive deep dive into the world of tokens☆223Updated 11 months ago
- Customizable implementation of the self-instruct paper.☆1,042Updated last year
- PaL: Program-Aided Language Models (ICML 2023)☆498Updated last year
- Multipack distributed sampler for fast padding-free training of LLMs☆188Updated 9 months ago
- batched loras☆342Updated last year
- Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"☆464Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆546Updated last year
- Automatically evaluate your LLMs in Google Colab☆629Updated last year
- data cleaning and curation for unstructured text☆327Updated 9 months ago
- Easily embed, cluster and semantically label text datasets☆540Updated last year
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆230Updated 7 months ago
- Generative Representational Instruction Tuning☆639Updated 2 months ago