Open R1
open-r1-3d5b10e7·8 events·first seen 28d agoAliases: Open R1, Open-R1, open-r1
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Open-R1: a fully open reproduction of DeepSeek-R1
Hugging Face announced Open-R1, a community effort to fully reproduce DeepSeek-R1's training pipeline using open-source components. The project aims to replicate the data, training, and evaluation stages of DeepSeek-R1, making the entire process transparent and accessible. This follows significant interest in DeepSeek-R1's reinforcement-learning-based reasoning approach and addresses the lack of fully open reproduction of that methodology.
Open R1: Update #3
Hugging Face's Open R1 project releases its third update, continuing the open-source replication effort of DeepSeek-R1's reasoning model training pipeline. The update likely covers progress on data, training runs, and evaluation results for the community-driven reproduction. This is part of an ongoing effort to make frontier reasoning model capabilities accessible via open weights and open training code.
Open R1: Update #2
Hugging Face's Open R1 project releases its second progress update on the open-source replication of DeepSeek-R1's reasoning capabilities. The update likely covers training progress, dataset releases, and intermediate model checkpoints as the team works toward a fully open reproduction of the reasoning model pipeline. Open R1 is a community-driven effort to make the techniques behind frontier reasoning models accessible to researchers.
Open-R1: Update #1 — Open Reproduction of DeepSeek-R1
Hugging Face's Open-R1 project provides a first progress update on its open reproduction of DeepSeek-R1, a reasoning-focused language model. The update covers early training runs, dataset construction, and evaluation results aimed at replicating DeepSeek-R1's chain-of-thought reasoning capabilities. This effort is part of the broader open-weights community push to reproduce frontier reasoning models transparently.
Open R1: Update #4
Hugging Face's Open R1 project releases its fourth progress update on the open reproduction of DeepSeek-R1. The update likely covers training progress, dataset releases, and evaluation results for the open-weights reasoning model effort. This project is a community-driven attempt to replicate and open-source the techniques behind DeepSeek-R1's chain-of-thought reasoning capabilities.
Hugging Face open reproduction of DeepSeek-R1
Hugging Face has published an open reproduction of DeepSeek-R1, the reasoning-focused language model, on GitHub. The project aims to replicate DeepSeek-R1's training methodology and capabilities in an open-weights setting. This contributes to the broader effort to make frontier reasoning model techniques accessible to the research community.
Open R1: Using OlympicCoder Locally for Coding via LM Studio
This Hugging Face blog post describes how to run OlympicCoder, an open-weights coding-focused model from the Open R1 project, locally using LM Studio. OlympicCoder appears to be a model trained or fine-tuned for competitive programming tasks. The post provides a practical guide for local deployment of the model.
Mini-R1: Reproducing DeepSeek R1 'Aha Moment' — An RL Tutorial
A Hugging Face blog post demonstrates how to reproduce DeepSeek R1's emergent 'aha moment' reasoning behavior using reinforcement learning on a countdown game task. The tutorial walks through training a smaller model with RL to exhibit chain-of-thought self-correction, similar to the behavior observed in DeepSeek R1. This serves as a practical open-source replication effort aimed at demystifying R1's training dynamics.