Update README.md

README.md

@@ -15,6 +15,112 @@ base_model: Nohobby/MS-Schisandra-22B-v0.3
 This model was converted to GGUF format from [`Nohobby/MS-Schisandra-22B-v0.3`](https://huggingface.co/Nohobby/MS-Schisandra-22B-v0.3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/Nohobby/MS-Schisandra-22B-v0.3) for more details on the model.
 
+Merge Details
+-
+Merging steps
+
+Karasik-v0.3
+
+models:
+  - model: Mistral-Small-22B-ArliAI-RPMax-v1.1
+    parameters:
+      weight: [0.2, 0.3, 0.2, 0.3, 0.2]
+      density: [0.45, 0.55, 0.45, 0.55, 0.45]
+  - model: Mistral-Small-NovusKyver
+    parameters:
+      weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
+      density: [0.6, 0.4, 0.5, 0.4, 0.6]
+  - model: MiS-Firefly-v0.2-22B
+    parameters:
+      weight: [0.208, 0.139, 0.139, 0.139, 0.208]
+      density: [0.7]
+  - model: magnum-v4-22b
+    parameters:
+      weight: [0.33]
+      density: [0.45, 0.55, 0.45, 0.55, 0.45]
+merge_method: della_linear
+base_model: Mistral-Small-22B-ArliAI-RPMax-v1.1
+parameters:
+  epsilon: 0.05
+  lambda: 1.05
+  int8_mask: true
+  rescale: true
+  normalize: false
+dtype: bfloat16
+tokenizer_source: base
+
+SchisandraVA3
+
+(Config taken from here)
+
+merge_method: della_linear
+dtype: bfloat16
+parameters:
+  normalize: true
+  int8_mask: true
+tokenizer_source: base
+base_model: Cydonia-22B-v1.3
+models:
+    - model: Karasik03
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: Pantheon-RP-Pure-1.6.2-22b-Small
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: ChatWaifu_v2.0_22B
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: MS-Meadowlark-Alt-22B
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: SorcererLM-22B
+      parameters:
+        density: 0.55
+        weight: 1
+
+Schisandra-v0.3
+
+dtype: bfloat16
+tokenizer_source: base
+merge_method: della_linear
+parameters:
+  density: 0.5
+base_model: SchisandraVA3
+models:
+  - model: unsloth/Mistral-Small-Instruct-2409
+    parameters:
+      weight:
+        - filter: v_proj
+          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
+        - filter: o_proj
+          value: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1]
+        - filter: up_proj
+          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
+        - filter: gate_proj
+          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
+        - filter: down_proj
+          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+        - value: 0
+  - model: SchisandraVA3
+    parameters:
+      weight:
+        - filter: v_proj
+          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
+        - filter: o_proj
+          value: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0]
+        - filter: up_proj
+          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+        - filter: gate_proj
+          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
+        - filter: down_proj
+          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
+        - value: 1
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)