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Model: ND911/Mistralv0.2-Erosumikav2-Franken-Sonya-10.5B
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+- not-for-all-audiences
+---
+
+![](mefs.png)
+
+# Mistralv0.2-Erosumikav2-Franken-Sonya-10.5B
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+
+See Below
+
+### Merge Method
+
+This model was merged using the passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* Franken-Sonya
+* Erosumika-7B-v2
+* Mistral-7B-Instruct-v0.2
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+    - model: "Franken-Sonya"
+      layer_range: [0, 16]
+  - sources:
+    - model: "Erosumika-7B-v2"
+      layer_range: [8, 24]
+  - sources:
+    - model: "Mistral-7B-Instruct-v0.2"
+      layer_range: [17, 32]
+
+merge_method: passthrough
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "Franken-Sonya",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 47,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

mefs.png

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mergekit_config.yml

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+slices:
+  - sources:
+    - model: "Franken-Sonya"
+      layer_range: [0, 16]
+  - sources:
+    - model: "Erosumika-7B-v2"
+      layer_range: [8, 24]
+  - sources:
+    - model: "Mistral-7B-Instruct-v0.2"
+      layer_range: [17, 32]
+
+merge_method: passthrough
+dtype: float16

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+  "tokenizer_class": "LlamaTokenizer",
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+}