Alternatives and similar repositories for LongChat:

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

• arielnlee / Platypus
  Code for fine-tuning Platypus fam LLMs using LoRA
  ☆629Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆545Updated last year
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆598Updated last year
• OpenLMLab / LEval
  [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark
  ☆375Updated 9 months ago
• nlpxucan / evol-instruct
  ☆269Updated last year
• OpenBMB / InfiniteBench
  Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718
  ☆319Updated 6 months ago
• TencentARC / LLaMA-Pro
  [ACL 2024] Progressive LLaMA with Block Expansion.
  ☆500Updated 11 months ago
• THUDM / LongBench
  LongBench v2 and LongBench (ACL 2024)
  ☆845Updated 3 months ago
• GanjinZero / RRHF
  [NIPS2023] RRHF & Wombat
  ☆806Updated last year
• kaistAI / SelFee
  Official codebase for "SelFee: Iterative Self-Revising LLM Empowered by Self-Feedback Generation"
  ☆226Updated last year
• jondurbin / bagel
  A bagel, with everything.
  ☆319Updated last year
• datamllab / LongLM
  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
  ☆650Updated 10 months ago
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆547Updated 4 months ago
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆459Updated last year
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆395Updated 11 months ago
• OpenLemur / Lemur
  [ICLR 2024] Lemur: Open Foundation Models for Language Agents
  ☆545Updated last year
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆692Updated last year
• Re-Align / URIAL
  ☆308Updated 10 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆628Updated 9 months ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆806Updated 9 months ago
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,468Updated last year
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,240Updated last month
• conceptofmind / toolformer
  ☆356Updated 2 years ago
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆985Updated 9 months ago
• epfml / landmark-attention
  Landmark Attention: Random-Access Infinite Context Length for Transformers
  ☆422Updated last year
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆715Updated 6 months ago
• thunlp / InfLLM
  The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…
  ☆352Updated last year
• bojone / NBCE
  Naive Bayes-based Context Extension
  ☆326Updated 4 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆336Updated last year
• raunak-agarwal / instruction-datasets
  All available datasets for Instruction Tuning of Large Language Models
  ☆248Updated last year