Alternatives and similar repositories for distilling-step-by-step:

Users that are interested in distilling-step-by-step are comparing it to the libraries listed below

• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆534Updated 2 months ago
• magpie-align / magpie
  Official repository for ICLR 2025 paper "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing". Your efficient an…
  ☆630Updated last week
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆585Updated 11 months ago
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆541Updated 11 months ago
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆804Updated last week
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆464Updated last month
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆389Updated 9 months ago
• ContextualAI / gritlm
  Generative Representational Instruction Tuning
  ☆596Updated last month
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆412Updated 4 months ago
• xfactlab / orpo
  Official repository for ORPO
  ☆437Updated 8 months ago
• tianyi-lab / Reflection_Tuning
  [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
  ☆348Updated 5 months ago
• THUDM / LongBench
  LongBench v2 and LongBench (ACL 2024)
  ☆782Updated last month
• Strivin0311 / long-llms-learning
  A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks
  ☆255Updated 6 months ago
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆508Updated this week
• OpenLMLab / LEval
  [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark
  ☆370Updated 7 months ago
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆451Updated 11 months ago
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆821Updated this week
• epfLLM / Megatron-LLM
  distributed trainer for LLMs
  ☆557Updated 9 months ago
• AGI-Edgerunners / LLM-Adapters
  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
  ☆1,127Updated 11 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆329Updated last year
• for-ai / parameter-efficient-moe
  ☆251Updated last year
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆333Updated last year
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆760Updated last year
• QwenLM / AutoIF
  ☆258Updated 6 months ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆700Updated 4 months ago
• tianyi-lab / Cherry_LLM
  [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…
  ☆337Updated 5 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆614Updated 7 months ago
• datamllab / LongLM
  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
  ☆640Updated 8 months ago
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆312Updated last year
• GanjinZero / RRHF
  [NIPS2023] RRHF & Wombat
  ☆799Updated last year