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deepseek/deepseek-r1-distill-qwen-32b
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R1 Distill Qwen 32B
DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.
1/29/2025
32,768 tokens
Specifications
Modalities
Input
text
Output
text
Supported Parameters
frequency_penalty
include_reasoning
max_tokens
presence_penalty
reasoning
repetition_penalty
response_format
seed
stop
structured_outputs
temperature
top_k
top_p
Max Output Tokens
32,768Frequently asked questions
- Is R1 Distill Qwen 32B available on FastMetal?
- Not at the moment. DeepSeek V4.1 Flash, from the same lab, is available on the FastMetal API today.
- What is the context window of R1 Distill Qwen 32B?
- 32,768 tokens, shared between the prompt and the response.