Model upload

README.md

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+---
+base_model: []
+tags:
+- mergekit
+- merge
+
+---
+# model
+
+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:
+* F:\Euryale-1.3-70b
+* G:\miqu-70b
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+    - model: G:\miqu-70b
+      layer_range: [0,59]
+  - sources:
+    - model: F:\Euryale-1.3-70b
+      layer_range: [51,73]
+  - sources:
+    - model: G:\miqu-70b
+      layer_range: [59,80]
+merge_method: passthrough
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "F:\\Euryale-1.3-70b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 102,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+slices:
+  - sources:
+    - model: G:\miqu-70b
+      layer_range: [0,59]
+  - sources:
+    - model: F:\Euryale-1.3-70b
+      layer_range: [51,73]
+  - sources:
+    - model: G:\miqu-70b
+      layer_range: [59,80]
+merge_method: passthrough
+dtype: float16

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