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README.md

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+---
+license: other
+base_model:
+- anthracite-org/magnum-v2-123b
+- mistralai/Mistral-Large-Instruct-2407
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+
+How much introduction do you need? You know what it is. If you want something that's closer to regular-flavor Mistral Large, here you go.
+
+A basic af 50/50 slerp merge of [anthracite-org/magnum-v2-123b](https://huggingface.co/anthracite-org/magnum-v2-123b) with [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407)

config.json

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+{
+    "_name_or_path": "magstral-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": "4.44.2",
+    "use_cache": true,
+    "vocab_size": 32768,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.3",
+        "bits": 5.8,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: mistral-large
+        layer_range: [0, 88]
+      - model: magnum-v2-123b
+        layer_range: [0, 88]
+merge_method: slerp
+base_model: mistral-large
+parameters:
+  t:
+    - value: 0.5
+dtype: bfloat16

model.safetensors.index.json

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