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]
  ☆571Updated 10 months ago
• magpie-align / magpie
  [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …
  ☆782Updated 7 months ago
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆520Updated 9 months ago
• ContextualAI / gritlm
  Generative Representational Instruction Tuning
  ☆675Updated 3 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆631Updated 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.
  ☆548Updated last year
• xfactlab / orpo
  Official repository for ORPO
  ☆463Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆496Updated last year
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆889Updated 3 weeks ago
• tianyi-lab / Reflection_Tuning
  [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
  ☆362Updated last year
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆401Updated last year
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆655Updated last year
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆360Updated last year
• fanqiwan / FuseAI
  FuseAI Project
  ☆584Updated 8 months ago
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆642Updated 4 months ago
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆923Updated 8 months ago
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆341Updated last year
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆477Updated last year
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆517Updated last year
• THUDM / LongBench
  LongBench v2 and LongBench (ACL 25'&24')
  ☆992Updated 9 months ago
• yule-BUAA / MergeLM
  Codebase for Merging Language Models (ICML 2024)
  ☆850Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆271Updated last year
• pjlab-sys4nlp / llama-moe
  ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
  ☆995Updated 10 months ago
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆380Updated 2 years ago
• GaryYufei / AlignLLMHumanSurvey
  Aligning Large Language Models with Human: A Survey
  ☆735Updated 2 years ago
• QwenLM / AutoIF
  ☆312Updated last year
• Strivin0311 / long-llms-learning
  A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks
  ☆268Updated last year
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆352Updated last year
• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆517Updated last year
• epfLLM / Megatron-LLM
  distributed trainer for LLMs
  ☆580Updated last year