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README.md

@@ -1,6 +1,116 @@
----
-license: other
-license_name: nvidia-open-model-license
-license_link: >-
-  https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf
----
+---
+base_model:
+- nvidia/Mistral-NeMo-Minitron-8B-Base
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merged
+
+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:
+* [nvidia/Mistral-NeMo-Minitron-8B-Base](https://huggingface.co/nvidia/Mistral-NeMo-Minitron-8B-Base)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 8]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+- sources:
+  - layer_range: [8, 16]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [8, 16]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.5
+      - filter: down_proj
+        value: 0.5
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [16, 17]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+- sources:
+  - layer_range: [17, 24]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [17, 24]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.5
+      - filter: down_proj
+        value: 0.5
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [24, 25]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+- sources:
+  - layer_range: [25, 32]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [25, 32]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.5
+      - filter: down_proj
+        value: 0.5
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [32, 40]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+```

config.json

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+{
+  "_name_or_path": "nvidia/Mistral-NeMo-Minitron-8B-Base",
+  "activation": "silu",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11520,
+  "max_position_embeddings": 8192,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 62,
+  "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": true,
+  "vocab_size": 131072
+}

mergekit_config.yml

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+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 8]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+- sources:
+  - layer_range: [8, 16]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [8, 16]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.5
+      - filter: down_proj
+        value: 0.5
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [16, 17]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+- sources:
+  - layer_range: [17, 24]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [17, 24]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.5
+      - filter: down_proj
+        value: 0.5
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [24, 25]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+- sources:
+  - layer_range: [25, 32]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [25, 32]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.5
+      - filter: down_proj
+        value: 0.5
+      - filter: q_proj
+        value: 0.85355339059
+      - filter: k_proj
+        value: 0.85355339059
+      - value: 1.0
+- sources:
+  - layer_range: [32, 40]
+    model: nvidia/Mistral-NeMo-Minitron-8B-Base

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