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Model: sometimesanotion/Lamarck-14B-v0.7-Fusion Source: Original Platform
2026-08-30 08:04:19 +08:00
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+---
+base_model:
+- sometimesanotion/Lamarck-14B-v0.7
+- sometimesanotion/Qwenvergence-14B-v12-Prose-DS
+- jpacifico/Chocolatine-2-14B-Instruct-v2.0.3
+- suayptalha/Lamarckvergence-14B
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+language:
+- en
+---
+# EXPERIMENTAL:
+
+> [!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.
+
+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:
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/665fef5a4794222f6a2fe605/5J98k-IqLMb_obGPaP1CM.png)
+
+* 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).
+* A SLERP of Lamarck-14B-v0.7-Fusionvergence with Qwenvergence-14B-v12-Prose-DS, the latter emphasized in later layers.
+* 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
+* A fusion of the previous two.
+
+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.
+
+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.
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+name:                Lamarck-14B-v0.7-Fusionvergence
+merge_method:        arcee_fusion
+base_model:          sometimesanotion/Lamarck-14B-v0.7
+tokenizer_source:    base
+parameters:
+  int8_mask:         true
+  normalize:         true
+  rescale:           false
+dtype:               bfloat16
+out_dtype:           bfloat16
+models:
+  - model:           suayptalha/Lamarckvergence-14B
+---
+name:                Slerp-Lamarckvevergence
+base_model:          sometimesanotion/Lamarck-14B-v0.7-Fusion-Lamarckvergence
+merge_method:        slerp
+tokenizer_source:    base
+dtype:               float32
+out_dtype:           bfloat16
+parameters:
+  t:
+    - filter:        self_attn
+      value:         [ 0.00, 0.50, 0.30, 0.70, 1.00 ]
+    - filter:        mlp
+      value:         [ 1.00, 0.50, 0.70, 0.30, 0.00 ]
+    - 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 ]
+slices:
+  - sources:
+      - model:       sometimesanotion/Lamarck-14B-v0.7-Fusion-Lamarckvergence
+        layer_range: [ 0, 48 ]
+      - model:       sometimesanotion/Qwenvergence-14B-v12-Prose-DS
+        layer_range: [ 0, 48 ]
+---
+name:                Chocolatine-Fusion-Qwenvergence
+merge_method:        arcee_fusion
+base_model:          jpacifico/Chocolatine-2-14B-Instruct-v2.0.3
+tokenizer_source:    base
+parameters:
+  int8_mask:         true
+  normalize:         true
+  rescale:           false
+dtype:               bfloat16
+out_dtype:           bfloat16
+models:
+  - model:           sometimesanotion/Qwenvergence-14B-v12-Prose-DS
+---
+name:                Lamarck-14B-v0.7-Fusion
+merge_method:        arcee_fusion
+base_model:          sometimesanotion/Slerp-Lamarckvevergence
+tokenizer_source:    base
+parameters:
+  int8_mask:         true
+  normalize:         true
+  rescale:           false
+dtype:               bfloat16
+out_dtype:           bfloat16
+models:
+  - model:           sometimesanotion/Chocolatine-Fusion-Qwenvergence
+```