ContextualAI / gritlm
Generative Representational Instruction Tuning
☆599Updated last month
Alternatives and similar repositories for gritlm:
Users that are interested in gritlm are comparing it to the libraries listed below
- ☆498Updated 3 months ago
- Official repository for ICLR 2025 paper "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing". Your efficient an…☆638Updated 2 weeks ago
- Official repository for ORPO☆441Updated 9 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆808Updated this week
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆452Updated 11 months ago
- RewardBench: the first evaluation tool for reward models.☆516Updated this week
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.☆405Updated last week
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆535Updated 2 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆392Updated 9 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆464Updated last month
- Codebase for Merging Language Models (ICML 2024)☆797Updated 9 months ago
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆643Updated 9 months ago
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆713Updated last year
- ☆260Updated 7 months ago
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆835Updated 2 weeks ago
- [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning☆349Updated 5 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆703Updated 5 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆329Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆587Updated 11 months ago
- Code for Quiet-STaR☆716Updated 6 months ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆628Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆412Updated 4 months ago
- Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]☆576Updated 11 months ago
- DSIR large-scale data selection framework for language model training☆241Updated 10 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆333Updated last year
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆252Updated last year
- [ACL 2024] Progressive LLaMA with Block Expansion.☆497Updated 9 months ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆475Updated 4 months ago
- Tevatron - A flexible toolkit for neural retrieval research and development.☆562Updated last week