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README.md

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 ---
-license: apache-2.0
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
 ---
+# V3_u_5_scaling
+
+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 breadcrumbs_ties merge method using F:\merger\mergekit\V3_ultraperecision\V3_u_4_scaling as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* F:\text_models\Iambe-RP-v3-20b
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: "F:\\merger\\mergekit\\V3_ultraperecision\\V3_u_4_scaling"
+  - model: "F:\\text_models\\Iambe-RP-v3-20b"
+    parameters:
+      weight: 0.5
+      density: 0.9
+      gamma: 0.01
+base_model: "F:\\merger\\mergekit\\V3_ultraperecision\\V3_u_4_scaling"     
+merge_method: breadcrumbs_ties
+dtype: float32
+```

config.json

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+{
+    "_name_or_path": "F:\\merger\\mergekit\\V3_ultraperecision\\V3_u_4_scaling",
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 13824,
+    "max_position_embeddings": 4096,
+    "model_type": "llama",
+    "num_attention_heads": 40,
+    "num_hidden_layers": 62,
+    "num_key_value_heads": 40,
+    "pad_token_id": 0,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000.0,
+    "tie_word_embeddings": false,
+    "torch_dtype": "float32",
+    "transformers_version": "4.35.2",
+    "use_cache": false,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.20",
+        "bits": 8.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "erotiquant2.parquet"
+        }
+    }
+}

mergekit_config.yml

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+models:
+  - model: "F:\\merger\\mergekit\\V3_ultraperecision\\V3_u_4_scaling"
+  - model: "F:\\text_models\\Iambe-RP-v3-20b"
+    parameters:
+      weight: 0.5
+      density: 0.9
+      gamma: 0.01
+base_model: "F:\\merger\\mergekit\\V3_ultraperecision\\V3_u_4_scaling"     
+merge_method: breadcrumbs_ties
+dtype: float32

model.safetensors.index.json

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