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brittlewis12/DeepSeek-R1-0528-Qwen3-8B-GGUF
DeepSeek-R1-0528-Qwen3-8B-GGUF is a text generation model from brittlewis12. Use it when you need the model to write or continue text. The card lists the license as mit.
Original model: DeepSeek-R1-0528-Qwen3-8B
Downloads · 30 days
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.gguf133 GB · 100%
From the Hugging Face model README
Original model: DeepSeek-R1-0528-Qwen3-8B
Model creator: DeepSeek AI
We distilled the chain-of-thought from DeepSeek-R1-0528 to post-train Qwen3 8B Base, obtaining DeepSeek-R1-0528-Qwen3-8B. This model achieves state-of-the-art (SOTA) performance among open-source models on the AIME 2024, surpassing Qwen3 8B by +10.0% and matching the performance of Qwen3-235B-thinking. We believe that the chain-of-thought from DeepSeek-R1-0528 will hold significant importance for both academic research on reasoning models and industrial development focused on small-scale models.
This repo contains GGUF format model files for DeepSeek AI's DeepSeek R1 0528 Qwen3 8B.
GGUF is a file format for representing AI models. It is the third version of the format, introduced by the llama.cpp team on August 21st 2023.
Converted with llama.cpp build b5536 (revision 2b13162), using autogguf-rs.
{{system_message}}
<|User|>{{prompt}}<|Assistant|>
Compared to previous versions of DeepSeek-R1, the usage recommendations for DeepSeek-R1-0528 have the following changes:
- System prompt is supported now.
- It is not required to add
<think>\nat the beginning of the output to force the model into thinking pattern.The model architecture of DeepSeek-R1-0528-Qwen3-8B is identical to that of Qwen3-8B, but it shares the same tokenizer configuration as DeepSeek-R1-0528.

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We distilled the chain-of-thought from DeepSeek-R1-0528 to post-train Qwen3 8B Base, obtaining DeepSeek-R1-0528-Qwen3-8B. This model achieves state-of-the-art (SOTA) performance among open-source models on the AIME 2024, surpassing Qwen3 8B by +10.0% and matching the performance of Qwen3-235B-thinking.
| AIME 24 | AIME 25 | HMMT Feb 25 | GPQA Diamond | LiveCodeBench (2408-2505) | |
|---|---|---|---|---|---|
| Qwen3-235B-A22B | 85.7 | 81.5 | 62.5 | 71.1 | 66.5 |
| Qwen3-32B | 81.4 | 72.9 | - | 68.4 | - |
| Qwen3-8B | 76.0 | 67.3 | - | 62.0 | - |
| Phi-4-Reasoning-Plus-14B | 81.3 | 78.0 | 53.6 | 69.3 | - |
| Gemini-2.5-Flash-Thinking-0520 | 82.3 | 72.0 | 64.2 | 82.8 | 62.3 |
| o3-mini (medium) | 79.6 | 76.7 | 53.3 | 76.8 | 65.9 |
| DeepSeek-R1-0528-Qwen3-8B | 86.0 | 76.3 | 61.5 | 61.1 | 60.5 |
