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README.md

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+---
+base_model:
+- schnapper79/lumikabra-123B_v0.4
+- mistralai/Mistral-Large-Instruct-2407
+- TheDrummer/Behemoth-123B-v1
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Twilight-Large
+
+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 della_linear merge method using [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [schnapper79/lumikabra-123B_v0.4](https://huggingface.co/schnapper79/lumikabra-123B_v0.4)
+* [TheDrummer/Behemoth-123B-v1](https://huggingface.co/TheDrummer/Behemoth-123B-v1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: TheDrummer/Behemoth-123B-v1
+    parameters:
+      weight: 0.25
+      density: 0.9
+  - model: schnapper79/lumikabra-123B_v0.4
+    parameters:
+      weight: 0.3
+      density: 0.9      
+merge_method: della_linear
+base_model: mistralai/Mistral-Large-Instruct-2407
+parameters:
+  epsilon: 0.05
+  lambda: 1
+  int8_mask: true
+dtype: bfloat16
+```

config.json

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+{
+    "_name_or_path": "softwareweaver/Twilight-Large-123B",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 12288,
+    "initializer_range": 0.02,
+    "intermediate_size": 28672,
+    "max_position_embeddings": 131072,
+    "model_type": "mistral",
+    "num_attention_heads": 96,
+    "num_hidden_layers": 88,
+    "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": "4.45.2",
+    "use_cache": true,
+    "vocab_size": 32768,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.3",
+        "bits": 5.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+models:
+  - model: TheDrummer/Behemoth-123B-v1
+    parameters:
+      weight: 0.25
+      density: 0.9
+  - model: schnapper79/lumikabra-123B_v0.4
+    parameters:
+      weight: 0.3
+      density: 0.9      
+merge_method: della_linear
+base_model: mistralai/Mistral-Large-Instruct-2407
+parameters:
+  epsilon: 0.05
+  lambda: 1
+  int8_mask: true
+dtype: bfloat16

model.safetensors.index.json

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