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README.md

@@ -1,29 +1,13 @@
 ---
 base_model:
-- LeroyDyer/Mixtral_AI_MediTron
-- LeroyDyer/Mixtral_AI_CyberTron
+- LeroyDyer/Mixtral_AI_CyberTron_M4
+- LeroyDyer/Mixtral_AI_CyberTron_M3
 library_name: transformers
 tags:
 - mergekit
 - merge
-- code
-- biology
-- chemistry
-- medical
-- not-for-all-audiences
-- text-generation-inference
-- legal
-- finance
-datasets:
-- medalpaca/medical_meadow_pubmed_causal
-- ruslanmv/ai-medical-chatbot
-- medalpaca/medical_meadow_mediqa
-license: mit
----
-
-not the highest of the collection but (secretly the leader as all loras will be pplied to this model; etc as i work its this model will be improved towards growing the other mdoels of which may skew!)
-
 
+---
 # merge
 
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
@@ -31,13 +15,15 @@ This is a merge of pre-trained language models created using [mergekit](https://
 ## Merge Details
 ### Merge Method
 
-This model was merged using the SLERP merge method.
+This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
 
 ### Models Merged
 
 The following models were included in the merge:
-* [LeroyDyer/Mixtral_AI_MediTron](https://huggingface.co/LeroyDyer/Mixtral_AI_MediTron)
-* [LeroyDyer/Mixtral_AI_CyberTron](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron)
+* Mixtral_AI_MegaTron
+* [LeroyDyer/Mixtral_AI_CyberTron_M4](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_M4)
+* [LeroyDyer/Mixtral_AI_CyberTron_M3](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_M3)
+* Mixtral_AI_AlphaTron
 
 ### Configuration
 
@@ -45,21 +31,20 @@ The following YAML configuration was used to produce this model:
 
 ```yaml
 
-  slices:
-    - sources:
-        - model: LeroyDyer/Mixtral_AI_MediTron
-          layer_range: [0, 32]
-        - model: LeroyDyer/Mixtral_AI_CyberTron
-          layer_range: [0, 32]
-  merge_method: slerp
-  base_model: LeroyDyer/Mixtral_AI_CyberTron
-  parameters:
-    t:
-      - filter: self_attn
-        value: [0, 0.5, 0.3, 0.7, 1]
-      - filter: mlp
-        value: [1, 0.5, 0.7, 0.3, 0]
-      - value: 0.5
-  dtype: bfloat16
-
-```
+models:
+  - model: Mixtral_AI_AlphaTron
+    parameters:
+      weight: 0.512
+  - model: LeroyDyer/Mixtral_AI_CyberTron_M4
+    parameters:
+      weight: 0.256
+  - model: Mixtral_AI_MegaTron
+    parameters:
+      weight: 0.512
+  - model: LeroyDyer/Mixtral_AI_CyberTron_M3
+    parameters:
+      weight: 0.256
+merge_method: linear
+dtype: float16
+
+```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "Pubmed",
+  "_name_or_path": "Mixtral_AI_MegaTron",
   "architectures": [
     "MistralForCausalLM"
   ],

mergekit_config.yml

@@ -1,17 +1,16 @@
 
-  slices:
-    - sources:
-        - model: LeroyDyer/Mixtral_AI_MediTron
-          layer_range: [0, 32]
-        - model: LeroyDyer/Mixtral_AI_CyberTron
-          layer_range: [0, 32]
-  merge_method: slerp
-  base_model: LeroyDyer/Mixtral_AI_CyberTron
-  parameters:
-    t:
-      - filter: self_attn
-        value: [0, 0.5, 0.3, 0.7, 1]
-      - filter: mlp
-        value: [1, 0.5, 0.7, 0.3, 0]
-      - value: 0.5
-  dtype: bfloat16
+models:
+  - model: Mixtral_AI_AlphaTron
+    parameters:
+      weight: 0.512
+  - model: LeroyDyer/Mixtral_AI_CyberTron_M4
+    parameters:
+      weight: 0.256
+  - model: Mixtral_AI_MegaTron
+    parameters:
+      weight: 0.512
+  - model: LeroyDyer/Mixtral_AI_CyberTron_M3
+    parameters:
+      weight: 0.256
+merge_method: linear
+dtype: float16

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