Wauplin HF Staff commited on
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Add `conversational` tag

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Adding this tag will mark the model as `conversational` which will make it more discoverable on the Hub, and especially ready-to-use with the Chat Completion API in Inference Providers.

> This release does not include a Jinja-format chat template. Please refer to the Python code mentioned above.

Usually the `conversational` tag is auto-generated by the Hub when a jinja-style chat template exists in the repo. Hence why it's best to hardcode the tag for now.

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  1. README.md +2 -0
README.md CHANGED
@@ -4,6 +4,8 @@ library_name: transformers
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  base_model:
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  - deepseek-ai/DeepSeek-V3.2-Exp-Base
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  base_model_relation: finetune
 
 
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  ---
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  # DeepSeek-V3.2: Efficient Reasoning & Agentic AI
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  base_model:
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  - deepseek-ai/DeepSeek-V3.2-Exp-Base
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  base_model_relation: finetune
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+ tags:
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+ - conversational
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  ---
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  # DeepSeek-V3.2: Efficient Reasoning & Agentic AI
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