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.ipynb_checkpoints/README-checkpoint.md

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+---
+base_model:
+- RozGrov/NemoDori-v0.2-12B-MN-BT
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# NemoDori-v0.2-Frankend.1
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [RozGrov/NemoDori-v0.2-12B-MN-BT](https://huggingface.co/RozGrov/NemoDori-v0.2-12B-MN-BT)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+slices:
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [0, 8]
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [8, 24]
+      parameters:
+        scale:
+          - filter: q_proj
+            value: 0.919
+          - filter: k_proj
+            value: 0.919
+          - value: 1.0
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [16, 32]
+      parameters:
+        scale:
+          - filter: q_proj
+            value: 0.919
+          - filter: k_proj
+            value: 0.919
+          - value: 1.0
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [32, 40]
+merge_method: passthrough
+dtype: bfloat16
+
+```

.ipynb_checkpoints/config-checkpoint.json

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+{
+  "_name_or_path": "RozGrov/NemoDori-v0.2-12B-MN-BT",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0",
+  "use_cache": false,
+  "vocab_size": 131072
+}

.ipynb_checkpoints/mergekit_config-checkpoint.yml

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+
+slices:
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [0, 8]
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [8, 24]
+      parameters:
+        scale:
+          - filter: q_proj
+            value: 0.919
+          - filter: k_proj
+            value: 0.919
+          - value: 1.0
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [16, 32]
+      parameters:
+        scale:
+          - filter: q_proj
+            value: 0.919
+          - filter: k_proj
+            value: 0.919
+          - value: 1.0
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [32, 40]
+merge_method: passthrough
+dtype: bfloat16

README.md

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+---
+base_model:
+- RozGrov/NemoDori-v0.2-12B-MN-BT
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# NemoDori-v0.2-Frankend.1
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [RozGrov/NemoDori-v0.2-12B-MN-BT](https://huggingface.co/RozGrov/NemoDori-v0.2-12B-MN-BT)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+slices:
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [0, 8]
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [8, 24]
+      parameters:
+        scale:
+          - filter: q_proj
+            value: 0.919
+          - filter: k_proj
+            value: 0.919
+          - value: 1.0
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [16, 32]
+      parameters:
+        scale:
+          - filter: q_proj
+            value: 0.919
+          - filter: k_proj
+            value: 0.919
+          - value: 1.0
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [32, 40]
+merge_method: passthrough
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "RozGrov/NemoDori-v0.2-12B-MN-BT",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0",
+  "use_cache": false,
+  "vocab_size": 131072
+}

mergekit_config.yml

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+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [0, 8]
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [8, 24]
+      parameters:
+        scale:
+          - filter: q_proj
+            value: 0.919
+          - filter: k_proj
+            value: 0.919
+          - value: 1.0
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [16, 32]
+      parameters:
+        scale:
+          - filter: q_proj
+            value: 0.919
+          - filter: k_proj
+            value: 0.919
+          - value: 1.0
+  - sources:
+    - model: RozGrov/NemoDori-v0.2-12B-MN-BT
+      layer_range: [32, 40]
+merge_method: passthrough
+dtype: bfloat16

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special_tokens_map.json

@@ -0,0 +1,30 @@
+{
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+    "normalized": false,
+    "rstrip": false,
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}