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--- |
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base_model: |
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- sometimesanotion/Qwen2.5-14B-Vimarckoso-v3 |
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- djuna/Q2.5-Veltha-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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# merge |
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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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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [sometimesanotion/Qwen2.5-14B-Vimarckoso-v3](https://huggingface.co/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3) |
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* [djuna/Q2.5-Veltha-14B](https://huggingface.co/djuna/Q2.5-Veltha-14B) |
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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: djuna/Q2.5-Veltha-14B |
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- model: sometimesanotion/Qwen2.5-14B-Vimarckoso-v3 |
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merge_method: slerp |
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base_model: djuna/Q2.5-Veltha-14B |
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dtype: bfloat16 |
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parameters: |
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t: [0, 0.2, 0.8, 0.1, 0] # Skewed towards the second model |
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regularization: |
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- method: gradient_penalty |
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scale: 0.07 # Increased for stronger regularization |
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- method: weight_clipping |
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clip_range: [-0.2, 0.2] # Widened range |
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- method: random_noise |
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scale: 0.005 # Reduced to avoid excessive noise |
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- method: attention_dropout |
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scale: 0.03 # Increased dropout |
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postprocessing: |
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- operation: entropy_regularization |
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scale: 0.07 # Increased for stronger effect |
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- operation: non_linear_scaling |
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parameters: |
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function: gelu # Changed to GELU for potentially better performance |
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- operation: sharpening |
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intensity: 0.7 # Increased sharpening |
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- operation: gaussian_smoothing |
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sigma: 0.2 # Reduced smoothing for more detail |
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- operation: normalize |
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- operation: dynamic_scaling |
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scale_range: [0.97, 1.03] # Slightly wider range |
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- operation: smoothing |
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parameters: |
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adaptive: true |
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range: [0.97, 1.03] # Slightly wider range |
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kernel_size: 5 # Increased kernel size for more aggressive smoothing |
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``` |
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