This is a distilled and AWQ-quantized 32B parameter model derived from DeepSeek R1 and Qwen architectures. It is optimized for lower memory usage while retaining strong reasoning and instruction-following capabilities.
In the Foundation models & chat space, Deepseek R1 Distill Qwen 32b takes a focused approach. It focuses on running a large reasoning-capable model efficiently on consumer or enterprise hardware through quantization. It is built as an open-source project for developers. Deepseek R1 Distill Qwen 32b is open source under the Open Source license. The product ships for the web and API.
Behind Deepseek R1 Distill Qwen 32b is casperhansen. It operates in a well-populated space: PulseGate tracks 13 similar tools.
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