Alternatives and similar repositories for minRLHF:

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

• Asap7772 / understanding-rlhf
  Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…
  ☆28Updated last year
• mansicer / Q-Adapter
  Implementation of the paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"
  ☆16Updated 6 months ago
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆54Updated 3 weeks ago
• weigq / openview_quicklook
  ☆33Updated last month
• liziniu / policy_optimization
  Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
  ☆28Updated last year
• Cornell-RL / drpo
  Dateset Reset Policy Optimization
  ☆30Updated last year
• Parallel-Reasoning / APR
  Code for Paper: Learning Adaptive Parallel Reasoning with Language Models
  ☆51Updated this week
• cmu-l3 / neurips2024-inference-tutorial-code
  NeurIPS 2024 tutorial on LLM Inference
  ☆42Updated 4 months ago
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated 7 months ago
• thu-ml / Noise-Contrastive-Alignment
  Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)
  ☆51Updated 5 months ago
• cassidylaidlaw / orpo
  ☆15Updated 5 months ago
• facebookresearch / iGSM
  The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…
  ☆42Updated 3 months ago
• BY571 / SCoRe
  SCoRe: Training Language Models to Self-Correct via Reinforcement Learning
  ☆9Updated 3 months ago
• radarFudan / mamba-minimal-jax
  ☆30Updated 5 months ago
• waterhorse1 / Natural-language-RL
  Natural Language Reinforcement Learning
  ☆87Updated 4 months ago
• vwxyzjn / summarize_from_feedback_details
  ☆137Updated 5 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆26Updated last year
• snu-mllab / DPPO
  Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
  ☆42Updated 9 months ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆73Updated last year
• HKUNLP / diffusion-vs-ar
  [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
  ☆47Updated 2 months ago
• rsshyam / GRPO
  ☆57Updated 8 months ago
• tyler-romero / microR1
  Simple repository for training small reasoning models
  ☆12Updated 2 months ago
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 2 years ago
• rosieyzh / openrlhf-pretrain
  Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"
  ☆11Updated last week
• pickxiguapi / Uni-RLHF-Platform
  Uni-RLHF platform for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback" (ICLR2024…
  ☆36Updated 5 months ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• upiterbarg / diff_history
  [ICML 2024] Official code release accompanying the paper "diff History for Neural Language Agents" (Piterbarg, Pinto, Fergus)
  ☆20Updated 8 months ago
• amacrutherford / sampling-for-learnability
  Official codebase for "Sampling For Learnability", published at NeurIPS 2024
  ☆13Updated last month
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 2 years ago