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config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
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+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 32764,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 120,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+const_tag: &MODEL1 jukofyork/dawn-miqu-70b
+const_tag: &MODEL2 jukofyork/dark-miqu-70b
+
+const_tag: &QK_ATTENUATION_FACTOR 0.8408964153  # sqrt(sqrt(1/2))
+const_tag: &MLP_DOWN_SCALE_FACTOR 0.7071067812  # sqrt(1/2)
+
+scale-filter-env: &scale_filter_env
+  parameters:
+    scale:
+      - filter: q_proj
+        value: *QK_ATTENUATION_FACTOR
+      - filter: k_proj
+        value: *QK_ATTENUATION_FACTOR
+      - filter: down_proj
+        value: *MLP_DOWN_SCALE_FACTOR
+      - value: 1.0
+
+slices:
+  - sources:
+    - model: *MODEL1
+      layer_range: [0, 20]
+  - sources:
+    - model: *MODEL1
+      layer_range: [20, 40]
+      <<: *scale_filter_env
+  - sources:
+    - model: *MODEL2
+      layer_range: [20, 40]
+      <<: *scale_filter_env
+  - sources:
+    - model: *MODEL1
+      layer_range: [40, 60]
+      <<: *scale_filter_env
+  - sources:
+    - model: *MODEL2
+      layer_range: [40, 60]
+      <<: *scale_filter_env
+  - sources:
+    - model: *MODEL1
+      layer_range: [60, 80]
+
+merge_method: passthrough
+dtype: float16

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