Update README.md

README.md

@@ -31,117 +31,3 @@ KytheraMix-7B is crafted using semi-automated merges YAML templates.  As with [A
 - **jeffmeloy/Qwen2.5-7B-nerd-uncensored-ties** - A model_stock and TIES merge of [jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9](http://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9), [jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0](http://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0), and [jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.8](http://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.8).  These models are themselves the product of ner_merge, which chooses select layers from many other merges.
 
 - **[fblgit/cybertron-v4-qw7B-UNAMGS](http://huggingface.co/fblgit/cybertron-v4-qw7B-UNAMGS)** - Strong coding and knowledge representation.
-
-
-### Models Merged
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-name:                kytheramix-7b-if-della                      # This contributes insruction following
-merge_method:        della
-base_model:          Qwen/Qwen2.5-7B
-tokenizer_source:    base
-parameters:
-  int8_mask:         false
-  normalize:         true
-  rescale:           false
-  density:           0.30
-  weight:            0.50
-  epsilon:           0.09
-  lambda:            0.95
-models:
-  - model:           newsbang/Homer-v0.5-Qwen2.5-7B            # Exceptional instruction following, coding, math
-    parameters:
-      density:       0.80
-      weight:        1.00
-  - model:           sethuiyer/Qwen2.5-7B-Anvita               # Good instruction following, combined with exceptional recall and reasoning
-    parameters:
-      density:       0.30
-      weight:        [ 0.00, 0.40, 0.40, 0.40, 0.40, 0.40, 0.40, 0.40, 0.40, 0.40, 0.40, 0.40, 0.30, 0.30 ]
-dtype:               bfloat16
-out_dtype:           bfloat16
----
-name:                kytheramix-7b-reason-della                  # This contributes the knowledge and reasoning pool, later to be merged
-merge_method:        della                                      # with the dominant instruction-following model
-base_model:          Qwen/Qwen2.5-7B
-tokenizer_source:    base
-parameters:
-  int8_mask:         false
-  normalize:         true
-  rescale:           false
-  density:           0.30
-  weight:            0.50
-  epsilon:           0.08
-  lambda:            0.95
-models:
-  - model:           jeffmeloy/Qwen2.5-7B-nerd-uncensored-ties/
-    parameters:
-      density:       0.80
-      weight:        1.00
-  - model:           jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1
-    parameters:
-      density:       0.60
-      weight:        0.50
-  - model:           fblgit/cybertron-v4-qw7B-UNAMGS
-    parameters:
-      density:       0.40
-      weight:        0.50
-dtype:               bfloat16
-out_dtype:           bfloat16
----
-name:                kytheramix-7b-finalize-slerp
-merge_method:        slerp
-base_model:          merges/kytheramix-7b-if-della       # Excellent instruction-following
-tokenizer_source:    base
-parameters:
-  t:                 [ 0.00, 0.50, 0.60, 0.70, 0.70, 0.70, 0.70, 0.55, 0.40 ]
-slices:
-  - sources:
-    - layer_range:   [ 0, 2 ]
-      model:         merges/kytheramix-7b-if-della
-    - layer_range:   [ 0, 2 ]
-      model:         merges/kytheramix-7b-reason-della
-    t:               [ 0.00, 0.00 ]
-  - sources:
-    - layer_range:   [ 2, 7 ]
-      model:         merges/kytheramix-7b-if-della
-    - layer_range:   [ 2, 7 ]
-      model:         merges/kytheramix-7b-reason-della
-    t:               [ 0.00, 0.50 ]
-  - sources:
-    - layer_range:   [ 7, 14 ]
-      model:         merges/kytheramix-7b-if-della
-    - layer_range:   [ 7, 14 ]
-      model:         merges/kytheramix-7b-reason-della
-    t:               [ 0.50, 0.70 ]
-  - sources:
-    - layer_range:   [ 14, 21 ]
-      model:         merges/kytheramix-7b-if-della
-    - layer_range:   [ 14, 21 ]
-      model:         merges/kytheramix-7b-reason-della
-    t:               [ 0.70, 0.70 ]
-  - sources:
-    - layer_range:   [ 21, 28 ]
-      model:         merges/kytheramix-7b-if-della
-    - layer_range:   [ 21, 28 ]
-      model:         merges/kytheramix-7b-reason-della
-    t:               [ 0.70, 0.40 ]
-dtype:               bfloat16
----
-name:                kytheramix-7b-finalize
-merge_method:        ties
-base_model:          Qwen/Qwen2.5-7B
-tokenizer_source:    huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2
-parameters:
-  int8_mask:         false
-  normalize:         true
-  rescale:           false
-  density:           1.00
-  weight:            1.00
-models:
-  - model:           merges/kytheramix-7b-finalize-slerp
-dtype:               bfloat16
-out_dtype:           bfloat16
-
-```