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@@ -21,6 +21,34 @@ DistilGPT-OSS-qwen3-4B is a Qwen3 4B-2507 thinking fine tune, it supports up to
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  Keep in mind, this is a community project and we are NOT related to qwen by Alibaba nor GPT-OSS by OpenAi.
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  # Format
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  This is the chat format of this model (you can also check the Jinja template file in "Files and versions"):
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  ```
@@ -59,4 +87,4 @@ Keep in mind, these tests were done in LM Studio, GGUF q8_0 on a single consumer
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  # Additional information
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- The model was trained using unsloth, using a mix of private datasets and public datasets.
 
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  Keep in mind, this is a community project and we are NOT related to qwen by Alibaba nor GPT-OSS by OpenAi.
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+ # Use cases & benefits
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+ Benefits of using this model over standard qwen3 4b thinking:
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+ - You decide how much it would think (low, medium, high)
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+ - completely different style of answers (more similar to ChatGPT)
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+ - Produces less emoji (qwen3 4b uses quite a lot in its responses which some may not like)
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+ - Less censored/limiting than qwen3 4b
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+ DistilGPT-OSS-qwen3-4B should be used for the following:
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+ - Local on device efficient assistance
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+ - Code generation
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+ - Summary generation
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+ - General use
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+ Or anything else
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+ ❌⚠️ It should ABSOLUTELY **not** be used for:
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+ - High-risk workspaces
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+ - Medical questions
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+ - Anything high risk which requires 1:1 accuracy.
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+ It is a small model thus general knowledge is limited to its size.
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  # Format
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  This is the chat format of this model (you can also check the Jinja template file in "Files and versions"):
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  ```
 
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  # Additional information
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+ The model was trained using unsloth, using a mix of private datasets and public datasets.