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unsloth/DeepSeek-V3.1-Terminus
DeepSeek-V3.1-Terminus is a text generation model from unsloth. 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.
<div align="center" <img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" / </div <hr <div align="center" style="line-height: 1;" <a href="https://www.…
Downloads · 30 days
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4% of all-time downloads
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.safetensors689 GB · 100%
How the weights are stored.
F8_E4M3681B · 99%
From the Hugging Face model README
This update maintains the model's original capabilities while addressing issues reported by users, including:
| Benchmark | DeepSeek-V3.1 | DeepSeek-V3.1-Terminus |
|---|---|---|
| Reasoning Mode w/o Tool Use | ||
| MMLU-Pro | 84.8 | 85.0 |
| GPQA-Diamond | 80.1 | 80.7 |
| Humanity's Last Exam | 15.9 | 21.7 |
| LiveCodeBench | 74.8 | 74.9 |
| Codeforces | 2091 | 2046 |
| Aider-Polyglot | 76.3 | 76.1 |
| Agentic Tool Use | ||
| BrowseComp | 30.0 | 38.5 |
| BrowseComp-zh | 49.2 | 45.0 |
| SimpleQA | 93.4 | 96.8 |
| SWE Verified | 66.0 | 68.4 |
| SWE-bench Multilingual | 54.5 | 57.8 |
| Terminal-bench | 31.3 | 36.7 |
The template and tool-set of search agent have been updated, which is shown in assets/search_tool_trajectory.html.
The model structure of DeepSeek-V3.1-Terminus is the same as DeepSeek-V3. Please visit DeepSeek-V3 repo for more information about running this model locally.
For the model's chat template other than search agent, please refer to the DeepSeek-V3.1 repo.
Here we also provide an updated inference demo code in the inference folder to help the community get started with running our model and understand the details of model architecture.
NOTE: In the current model checkpoint, the parameters of self_attn.o_proj do not conform to the UE8M0 FP8 scale data format. This is a known issue and will be corrected in future model releases.
This repository and the model weights are licensed under the MIT License.
@misc{deepseekai2024deepseekv3technicalreport,
title={DeepSeek-V3 Technical Report},
author={DeepSeek-AI},
year={2024},
eprint={2412.19437},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2412.19437},
}
If you have any questions, please raise an issue or contact us at [email protected].