Alternatives and similar repositories for rho

Users that are interested in rho are comparing it to the libraries listed below

• Cohere-Labs-Community / parameter-efficient-moe
  ☆273Updated 2 years ago
• nightdessert / Retrieval_Head
  open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality
  ☆229Updated last year
• tianyi-lab / Reflection_Tuning
  [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
  ☆366Updated last year
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆535Updated last year
• eddycmu / demystify-long-cot
  ☆330Updated 8 months ago
• da03 / Internalize_CoT_Step_by_Step
  ☆203Updated 9 months ago
• HKUNLP / ChunkLlama
  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
  ☆445Updated last year
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆327Updated last year
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆685Updated last week
• allenai / olmes
  Reproducible, flexible LLM evaluations
  ☆337Updated last week
• xfactlab / orpo
  Official repository for ORPO
  ☆469Updated last year
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆484Updated last year
• allenai / WildBench
  Benchmarking LLMs with Challenging Tasks from Real Users
  ☆245Updated last year
• princeton-nlp / HELMET
  The HELMET Benchmark
  ☆198Updated 2 months ago
• prateeky2806 / ties-merging
  ☆208Updated 2 years ago
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆195Updated last year
• ZubinGou / math-evaluation-harness
  A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨
  ☆273Updated last year
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆246Updated 4 months ago
• jongwooko / distillm
  Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)
  ☆250Updated 10 months ago
• GraphPKU / PiSSA
  PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)
  ☆408Updated 7 months ago
• cmu-l3 / l1
  L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
  ☆261Updated 8 months ago
• WildEval / ZeroEval
  A simple unified framework for evaluating LLMs
  ☆261Updated 9 months ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆269Updated last year
• getao / icae
  The repo for In-context Autoencoder
  ☆166Updated last year
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆177Updated last year
• kanishkg / cognitive-behaviors
  ☆224Updated 10 months ago
• OpenBMB / InfiniteBench
  Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718
  ☆373Updated last year
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆190Updated 9 months ago
• google-deepmind / loft
  LOFT: A 1 Million+ Token Long-Context Benchmark
  ☆225Updated 7 months ago
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆512Updated last year