Qwen3 code reasoning is a compact model with 4 billion parameters, fine-tuned on nvidia/OpenCodeReasoning, and specifically designed for coding and logical reasoning tasks. This model performs excellently in code generation and logical Q&A, and supports a context window of over 10,000 tokens.

Natural Language ProcessingTransformersEnglish

OpenCodeReasoning-Nemotron-1.1-7B is a large language model with 7 billion parameters developed based on Qwen2.5-7B-Instruct. It is specifically optimized through post-training for code generation and reasoning tasks. This model supports a context length of 64k tokens and performs excellently in competitive programming tasks, achieving a one-time pass rate of 55.5% in the LiveCodeBench evaluation.

Natural Language ProcessingTransformersMultiple Languages

A large language model based on Qwen2.5-32B-Instruct, post-trained specifically for code generation and reasoning, supporting a 32K context length, suitable for both commercial and non-commercial use.

Natural Language ProcessingTransformersMultiple Languages

OpenCodeReasoning-Nemotron-14B is a large language model based on Qwen2.5-14B-Instruct with post-training, specifically optimized for code generation and reasoning, supporting a 32K token context length.

Natural Language ProcessingGgufMultiple Languages

OpenCodeReasoning-Nemotron-7B is a large language model trained specifically for code generation and reasoning based on Qwen2.5-7B-Instruct. It supports a context length of 32K tokens and is suitable for both commercial and non-commercial use. This model is further trained on the OpenCodeReasoning dataset, focusing on the reasoning of programming problems and code generation.

Natural Language ProcessingTransformersMultiple Languages

OpenCodeReasoning-Nemotron-32B is a code generation reasoning model based on Qwen2.5-32B-Instruct, supporting 32K tokens context length, suitable for both commercial and non-commercial use.

Natural Language ProcessingGgufMultiple Languages

This is the quantized version of the NVIDIA OpenCodeReasoning-Nemotron-32B-IOI model, processed using llama.cpp for quantization, suitable for code reasoning tasks.

Natural Language ProcessingGgufMultiple Languages

This is the Llamacpp imatrix quantized version of the NVIDIA OpenCodeReasoning-Nemotron-14B model, suitable for code reasoning tasks.

Natural Language ProcessingGgufMultiple Languages

OpenCodeReasoning-Nemotron-32B-IOI is a large language model based on Qwen2.5-32B-Instruct, specifically fine-tuned for code generation tasks with support for 32K token context length.

Natural Language ProcessingTransformersMultiple Languages

OpenCodeReasoning-Nemotron-32B is a large language model based on Qwen2.5-32B-Instruct, specifically trained for code generation and reasoning capabilities, supporting a 32K token context length, and freely available for commercial/non-commercial use.

Natural Language ProcessingTransformersMultiple Languages

OpenCodeReasoning-Nemotron-14B is a large language model specifically post-trained for code generation inference, supporting a context length of 32K tokens.

Natural Language ProcessingTransformersMultiple Languages

OpenCodeReasoning-Nemotron-7B is a large language model developed based on Qwen2.5-7B-Instruct, focusing on code generation and reasoning tasks, supporting a context length of 32K tokens.

Natural Language ProcessingTransformersMultiple Languages

OpenCodeInterpreter is an open-source code generation system that enhances code generation capabilities by integrating code execution and iterative optimization functions

Natural Language ProcessingGgufMultiple Languages