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--- |
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base_model: |
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- sometimesanotion/Lamarck-14B-v0.7 |
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- sometimesanotion/Qwenvergence-14B-v12-Prose-DS |
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- jpacifico/Chocolatine-2-14B-Instruct-v2.0.3 |
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- suayptalha/Lamarckvergence-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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license: apache-2.0 |
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language: |
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- en |
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--- |
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# EXPERIMENTAL: |
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So what's this new arcee_fusion merge method, and what can we do with it? This model aims to find out, as a multi-stage merge where 3 out of 4 steps are fusions: |
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* A fusion of [Lamarck-14B-v0.7](http://huggingface.co/sometimesanotion/Lamarck-14B-v0.7) and @suayptalha's [Lamarckvergence SLERP merge](http://huggingface.co/suayptalha/Lamarckvergence-14B) of Lamarck-14B-v0.7 and [Qwenvergence-14B-v12-Prose-DS](http://huggingface.co/sometimesanotion/Qwenvergence-14B-v12-Prose-DS). |
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* A SLERP of Lamarck-14B-v0.7-Fusionvergence with Qwenvergence-14B-v12-Prose-DS, the latter emphasized in later layers. |
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* A fusion of @jpacifico's [Chocolatine-2-14B-Instruct-v2.0.3](http://huggingface.co/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3), itself a finetune of a merge of Lamarck-14B-v0.7, Arcee's (https://huggingface.co/arcee-ai/Virtuoso-Small-v2), and Qwenvergence-14B-v12-Prose-DS, fusion-merged with - you guessed it - Qwenvergence-14B-v12-Prose-DS |
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* A fusion of the previous two. |
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I've seen strong prose from this model, which is natural considering its re-emphasis of Qwenvergence-14B-v12-Prose-DS. A full evaluation will be cued shortly. |
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This merge strategy is much simpler than a mainline Lamarck release, but that is necessary to see how multiple fusion merges behave. Where it fits for efforts towards a Lamarck v0.8 depends greatly on evaluation and feedback. |
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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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name: Lamarck-14B-v0.7-Fusionvergence |
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merge_method: arcee_fusion |
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base_model: sometimesanotion/Lamarck-14B-v0.7 |
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tokenizer_source: base |
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parameters: |
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int8_mask: true |
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normalize: true |
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rescale: false |
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dtype: bfloat16 |
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out_dtype: bfloat16 |
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models: |
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- model: suayptalha/Lamarckvergence-14B |
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--- |
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name: Slerp-Lamarckvevergence |
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base_model: sometimesanotion/Lamarck-14B-v0.7-Fusion-Lamarckvergence |
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merge_method: slerp |
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tokenizer_source: base |
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dtype: float32 |
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out_dtype: bfloat16 |
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parameters: |
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t: |
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- filter: self_attn |
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value: [ 0.00, 0.50, 0.30, 0.70, 1.00 ] |
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- filter: mlp |
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value: [ 1.00, 0.50, 0.70, 0.30, 0.00 ] |
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- value: [ 0.00, 0.00, 0.00, 0.00, 0.04, 0.08, 0.12, 0.16, 0.24, 0.32, 0.40, 0.48, 0.56, 0.64, 0.72, 0.72, 0.72, 0.72, 0.72, 0.72, 0.72, 0.72, 0.64, 0.56, 0.48 ] |
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slices: |
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- sources: |
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- model: sometimesanotion/Lamarck-14B-v0.7-Fusion-Lamarckvergence |
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layer_range: [ 0, 48 ] |
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- model: sometimesanotion/Qwenvergence-14B-v12-Prose-DS |
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layer_range: [ 0, 48 ] |
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--- |
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name: Chocolatine-Fusion-Qwenvergence |
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merge_method: arcee_fusion |
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base_model: jpacifico/Chocolatine-2-14B-Instruct-v2.0.3 |
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tokenizer_source: base |
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parameters: |
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int8_mask: true |
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normalize: true |
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rescale: false |
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dtype: bfloat16 |
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out_dtype: bfloat16 |
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models: |
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- model: sometimesanotion/Qwenvergence-14B-v12-Prose-DS |
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--- |
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name: Lamarck-14B-v0.7-Fusion |
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merge_method: arcee_fusion |
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base_model: sometimesanotion/Slerp-Lamarckvevergence |
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tokenizer_source: base |
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parameters: |
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int8_mask: true |
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normalize: true |
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rescale: false |
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dtype: bfloat16 |
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out_dtype: bfloat16 |
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models: |
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- model: sometimesanotion/Chocolatine-Fusion-Qwenvergence |
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``` |
