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Update README.md

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@@ -8,6 +8,10 @@ license: apache-2.0
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/hXnQV6WtMKrmIQPdjECSX.jpeg)
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  Rombos-LLM-V2.5-Qwen-32b is a continues finetuned version of Qwen2.5-32B. I noticed recently that the Qwen team did not learn from my methods of continuous finetuning, the great benefits, and no downsides of it. So I took it upon myself to merge the instruct model with the base model myself using the *Ties* merge method
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  This version of the model shows higher performance than the original instruct and base models.
 
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/hXnQV6WtMKrmIQPdjECSX.jpeg)
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+ Here are the best params to use for this model, and possibly other qwen models in the oobagooba text generation web ui. From my testing at least:
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/dunHhhi5xiFc0Idsrintm.png)
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  Rombos-LLM-V2.5-Qwen-32b is a continues finetuned version of Qwen2.5-32B. I noticed recently that the Qwen team did not learn from my methods of continuous finetuning, the great benefits, and no downsides of it. So I took it upon myself to merge the instruct model with the base model myself using the *Ties* merge method
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  This version of the model shows higher performance than the original instruct and base models.