Create README.md

README.md

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+---
+base_model:
+- meta-llama/Meta-Llama-3-70B-Instruct
+license: llama3
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- merge
+- frankenmerge
+- 96b
+---
+# BigWeave v33 105b
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600>
+
+The BigWeave models aim to experimentally identify merge settings for increasing model performance. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared.
+
+# Prompting Format
+llamav3
+
+# Merge process
+This is a self-merge of meta-llama/Meta-Llama-3-70B-Instruct. Middle layers are duplicated and various matrices are scaled according to the template by jukofyork as shown here: https://github.com/arcee-ai/mergekit/issues/198#issuecomment-2079950009
+
+Merge configuration:
+```
+const_tag: &MODEL meta-llama/Meta-Llama-3-70B-Instruct
+
+const_tag: &RESIDUAL_SCALE_FACTOR 0.5
+const_tag: &QK_ATTENUATION_FACTOR 0.7071067812
+const_tag: &OUT_FACTOR 0.9
+
+scale-filter-env: &scale_filter_env
+  parameters:
+    scale:
+      - filter: o_proj
+        value: *RESIDUAL_SCALE_FACTOR
+      - filter: down_proj
+        value: *RESIDUAL_SCALE_FACTOR
+      - filter: q_proj
+        value: *QK_ATTENUATION_FACTOR
+      - filter: k_proj
+        value: *QK_ATTENUATION_FACTOR
+      - filter: v_proj
+        value: *OUT_FACTOR
+      - filter: up_proj
+        value: *OUT_FACTOR
+      - value: 1.0
+
+slices:
+  - sources:
+    - model: *MODEL
+      layer_range: [0, 19]
+  - sources:
+    - model: *MODEL
+      layer_range: [19, 20]
+      <<: *scale_filter_env
+
+  - sources:
+    - model: *MODEL
+      layer_range: [10, 29]
+  - sources:
+    - model: *MODEL
+      layer_range: [29, 30]
+      <<: *scale_filter_env
+
+  - sources:
+    - model: *MODEL
+      layer_range: [20, 39]
+  - sources:
+    - model: *MODEL
+      layer_range: [39, 40]
+      <<: *scale_filter_env
+
+  - sources:
+    - model: *MODEL
+      layer_range: [30, 49]
+  - sources:
+    - model: *MODEL
+      layer_range: [49, 50]
+      <<: *scale_filter_env
+
+  - sources:
+    - model: *MODEL
+      layer_range: [40, 80]
+
+merge_method: passthrough
+dtype: float16
+```