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DeepSeek-V3.2-Exp details and DSA feature
This commit updates the repository's README.md to reflect the official release of the DeepSeek-V3.2-Exp model.
Key changes include:
- Introducing the new DeepSeek Sparse Attention (DSA) mechanism for improved long-context efficiency.
- Highlighting the model's 671B total parameters (37B active per token).
- Providing a performance table comparing V3.2-Exp to V3.1-Terminus.
- Clarifying the MIT license and the purpose of this experimental release.
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---
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title: Deepseek Ai DeepSeek V3.2 Exp
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emoji:
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sdk: gradio
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sdk_version: 5.49.
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app_file: app.py
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pinned:
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hf_oauth: true
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hf_oauth_scopes:
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- inference-api
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: QhySync-Deepseek Ai DeepSeek V3.2 Exp
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emoji: π
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colorFrom: gray
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sdk: gradio
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sdk_version: 5.49.1
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app_file: app.py
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pinned: true
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hf_oauth: true
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hf_oauth_scopes:
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- inference-api
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license: mit
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short_description: DeepSeek-V3.2-Exp is an experimental, 671 Billion parameter.
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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