Alternatives and similar repositories for async_rlhf:

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

• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆64Updated 5 months ago
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆29Updated 7 months ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆19Updated 5 months ago
• allenai / OLMo-core
  PyTorch building blocks for OLMo
  ☆49Updated this week
• allenai / bff
  ☆38Updated 9 months ago
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆51Updated 10 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆54Updated 4 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆46Updated last year
• microsoft / RLHF-APA
  RL algorithm: Advantage induced policy alignment
  ☆62Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆40Updated 4 months ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆42Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆67Updated 9 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆71Updated 7 months ago
• sail-sg / oat
  🌾 OAT: A research-friendly framework for LLM online alignment, including preference learning, reinforcement learning, etc.
  ☆101Updated this week
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆48Updated 3 months ago
• PrasannS / rlhf-length-biases
  ☆27Updated 10 months ago
• shadowkiller33 / Contrast-Instruction
  ☆19Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 4 months ago
• WeiXiongUST / Building-Math-Agents-with-Multi-Turn-Iterative-Preference-Learning
  This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…
  ☆20Updated last month
• chtmp223 / suri
  Suri: Multi-constraint instruction following for long-form text generation (EMNLP’24)
  ☆22Updated 2 months ago
• hbin0701 / Self-Explore
  [EMNLP Findings 2024 & ACL 2024 NLRSE Oral] Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
  ☆49Updated 8 months ago
• architsharma97 / dpo-rlaif
  ☆94Updated 7 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆67Updated 3 months ago
• GSYfate / knnlm-limits
  Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"
  ☆21Updated 5 months ago
• ScalerLab / JudgeBench
  ☆51Updated 2 months ago
• kaistAI / factual-knowledge-acquisition
  ☆17Updated 3 months ago
• locuslab / scaling_laws_data_filtering
  ☆64Updated 9 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆96Updated 9 months ago
• chijames / KERPLE
  ☆19Updated 2 years ago