Code-reasoning post-training
According to the model card, the model is a dense decoder-only derivative of Qwen2.5-32B-Instruct post-trained for reasoning for code generation.
Open Source Model Profile · nvidia
OpenCodeReasoning-Nemotron-1.1-32B is a 32.76B-parameter Qwen2 code-reasoning model from nvidia. According to the model card, it derives from Qwen2.5-32B-Instruct with 64K-token context.
OpenCodeReasoning-Nemotron-1.1-32B is published by nvidia as a Qwen2 text-generation model. The captured configuration identifies Qwen2ForCausalLM and Safetensors metadata reports 32,763,876,352 parameters. According to the model card, it derives from Qwen2.5-32B-Instruct for code reasoning with 64K-token context.
According to the model card, the model is a dense decoder-only derivative of Qwen2.5-32B-Instruct post-trained for reasoning for code generation.
According to the model card, the model supports 64K-token context, specified as up to 65,536 tokens.
According to the model card, the publisher reports 69.9 Pass@1 on LiveCodeBench v5, above the listed 32B distilled peers.
Source: nvidia/OpenCodeReasoning-Nemotron-1.1-32B
Captured: Unknown. Processed: 2026-09-07T19:35:59.411698+00:00.
OpenCodeReasoning-Nemotron-1.1-32B Overview Description: OpenCodeReasoning-Nemotron-1.1-32B is a large language model (LLM) which is a derivative of Qwen2.5-32B-Instruct (AKA the reference model). It is a reasoning model that is post-trained for reasoning for code generation. The model supports a context length of 64k tokens. This model is ready for commercial/non-commercial use. Results Below results are the average of 64 evaluations on LiveCodeBench (v5) [2408-2501]. Model Pass@1 DeepSeek-R1-0528 73.4 DeepSeek-R1 65.6 QwQ-32B 61.3 Distilled 7B+ Models Bespoke-Stratos-7B 14.7 OpenThinker-7B 25.5 R1-Distill-Qwen-7B 38.0 OlympicCoder…
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