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SeerAttention/SeerAttention-Decode-R1-Distill-Qwen-14B-AttnGates
SeerAttention-Decode-R1-Distill-Qwen-14B-AttnGates is a text generation model from SeerAttention. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This repo contains the decode stage AttnGate weights from paper SeerAttention-R. The current support models are: - SeerAttention/SeerAttention-Decode-Qwen3-4B-AttnGates - SeerAttention/SeerAttention-Decode-Qwen3-8B-At…
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From the Hugging Face model README
This repo contains the decode stage AttnGate weights from paper SeerAttention-R. The current support models are:
Results of reasoning task with different token budgets. All the results are the averaged pass@1 results with 64 sample per query for AIME, 16 samples for GPQA, and 8 samples for MATH-500.
| Model | 2k | 4k | 6k | 8k | Full Attention |
|---|---|---|---|---|---|
| Qwen3-4B | 55.42 | 68.75 | 70.94 | 72.50 | 71.25 |
| Qwen3-8B | 56.56 | 72.29 | 74.22 | 75.05 | 74.48 |
| Qwen3-14B | 62.24 | 75.78 | 78.02 | 78.65 | 78.91 |
| DeepSeek-R1-Distill-Qwen-14B | 55.78 | 66.35 | 67.50 | 66.82 | 67.50 |
| Model | 2k | 4k | 6k | 8k | Full Attention |
|---|---|---|---|---|---|
| Qwen3-4B | 45.73 | 57.60 | 60.20 | 62.90 | 66.41 |
| Qwen3-8B | 42.60 | 56.77 | 60.31 | 64.17 | 67.86 |
| Qwen3-14B | 46.67 | 62.66 | 67.19 | 69.01 | 70.21 |
| DeepSeek-R1-Distill-Qwen-14B | 38.44 | 47.19 | 52.25 | 50.05 | 50.00 |
| Model | 1k | 2k | 4k | 6k | Full Attention |
|---|---|---|---|---|---|
| Qwen3-4B | 84.80 | 92.20 | 93.60 | 93.60 | 93.93 |
| Qwen3-8B | 82.82 | 91.53 | 94.17 | 94.53 | 94.43 |
| Qwen3-14B | 85.13 | 93.20 | 94.77 | 94.80 | 95.22 |
| DeepSeek-R1-Distill-Qwen-14B | 87.65 | 92.10 | 93.05 | 93.12 | 93.30 |
| Model | 1k | 2k | 4k | 6k | Full Attention |
|---|---|---|---|---|---|
| Qwen3-4B | 39.61 | 51.20 | 55.20 | 55.90 | 56.19 |
| Qwen3-8B | 37.59 | 54.32 | 59.60 | 60.48 | 60.54 |
| Qwen3-14B | 44.54 | 59.72 | 63.76 | 64.20 | 65.25 |
| DeepSeek-R1-Distill-Qwen-14B | 51.26 | 56.79 | 56.41 | 57.48 | 57.80 |