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--- |
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base_model: |
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- Qwen/Qwen2.5-14B-Instruct |
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- Lambent/qwen2.5-lumen-rebased-14B |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# qwenreinstruct |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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Extracted an approximate LoRA of v000000/Qwen2.5-Lumen-14B, rank 128 difference between that and instruct, |
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and first applied this to Lambent/qwen2.5-14B-alternate-instruct-slerp which had no issues with EQ-Bench. |
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Then, here, re-applied a density and weight of original Instruct which in previous merges gave me no issues with EQ-Bench. |
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This one has EQ-Bench of 77.6713 and no "emotions don't match reference error" (if possibly still one not parsed). |
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This is similar to Lumen and original Instruct and slightly exceeds both (within margin of error). |
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My hope is that it has healed Instruct somewhat and regained its intelligence. |
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### Merge Method |
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This model was merged using the della merge method using [Lambent/qwen2.5-lumen-rebased-14B](https://huggingface.co/Lambent/qwen2.5-lumen-rebased-14B) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-14B-Instruct |
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parameters: |
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weight: 0.3 |
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density: 0.4 |
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merge_method: della |
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base_model: Lambent/qwen2.5-lumen-rebased-14B |
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parameters: |
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epsilon: 0.05 |
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lambda: 1 |
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dtype: bfloat16 |
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tokenizer_source: base |
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``` |
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