94 lines
4.0 KiB
Markdown
94 lines
4.0 KiB
Markdown
---
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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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> [!TIP] Evaluations show high GPQA and strong reasoning capabilities in addition to this model's fine prose! IFEVAL is modest compared to other capabilities. This model is best used for free-form creativity.
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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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``` |