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---
library_name: transformers
base_model:
- Qwen/Qwen2.5-32B-Instruct
license: apache-2.0
---
# Rombos-LLM-V2.5-Qwen-32b

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/hXnQV6WtMKrmIQPdjECSX.jpeg)

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:

![image/png](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/dunHhhi5xiFc0Idsrintm.png)

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

This version of the model shows higher performance than the original instruct and base models. 

Quants: (Coming soon)

GGUF: https://huggingface.co/bartowski/Replete-LLM-V2.5-Qwen-32b-GGUF

EXL2: 

Benchmarks: (Coming soon)