top of page

NVIDIA OCR Models: Open Code Reasoning Leader

  • * NVIDIA has released the Open Code Reasoning (OCR) models (32B, 14B, and 7B parameters) under the Apache 2.0 license, designed for code reasoning tasks.
  • * The OCR models outperform O3 mini and O1 (low) on the LiveCodeBench benchmark, indicating strong performance in live coding scenarios.
  • * The models are claimed to be 30% more token-efficient compared to other reasoning models of similar size, potentially leading to faster inference and reduced memory footprint. This is attributed to the OCR dataset used for training.
  • * The OCR models are compatible with various inference frameworks and libraries, including `llama.cpp`, `vLLM`, `transformers`, and TGI (Text Generation Inference), facilitating easy integration into existing workflows.
Source:

https://www.linkedin.com/posts/vaibhavs10_nvidia-just-open-sourced-open-code-reasoning-activity-7325991436330373121-linN

bottom of page