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README.md
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---
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base_model:
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- Qwen/Qwen2.5-3B
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- Qwen/Qwen2.5-3B-Instruct
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- arcee-ai/raspberry-3B
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license: other
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license_name: qwen-research
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license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE
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tags:
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- mergekit
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- merge
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---
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# Rombos-LLM-V2.5.1-Qwen-3b
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/pNDtgE5FDkxxvbG4qiZ1A.jpeg)
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A little experiment I threw together to take a really high quality LLM I found (arcee-ai/raspberry-3B) and merge it using the last step of my Continuous Finetuning method outlines in the paper linked bellow.
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https://docs.google.com/document/d/1OjbjU5AOz4Ftn9xHQrX3oFQGhQ6RDUuXQipnQ9gn6tU/edit?usp=sharing
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Mergekit.yaml file is as follows:
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```yaml
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models:
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- model: Qwen2.5-3B-Instruct
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parameters:
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weight: 1
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density: 1
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- model: raspberry-3B
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parameters:
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weight: 1
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density: 1
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merge_method: ties
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base_model: Qwen2.5-3B
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parameters:
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weight: 1
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density: 1
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normalize: true
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int8_mask: true
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dtype: bfloat16
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```
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