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README.md

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+---
+license: other
+license_name: mistral-ai-research-licence
+license_link: https://mistral.ai/licenses/MRL-0.1.md
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- lumikabra-123B
+
+---
+# lumikabra-123B v0.3
+
+
+<div style="width: auto; margin-left: auto; margin-right: auto; margin-bottom: 3cm">
+<img src="https://huggingface.co/schnapper79/lumikabra-123B_v0.1/resolve/main/lumikabra.png" alt="Lumikabra" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+
+This is lumikabra. It's based on [Mistral-Large-Instruct-2407 ](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407), merged with Magnum-v2-123B, Luminum-v0.1-123B and Tess-3-Mistral-Large-2-123B.
+
+I shamelessly took this idea from [FluffyKaeloky](https://huggingface.co/FluffyKaeloky/Luminum-v0.1-123B). Like him, i always had my troubles with each of the current large mistral based models. 
+Either it gets repetitive, shows too many GPTisms, is too horny or too unhorny. RP and storytelling is always a matter of taste, and i found myself swiping too often for new answers or even fixing them when I missed a little spice or cleverness.
+
+Luminum was a great improvement, mixing a lot of desired traits, but I still missed some spice, another sauce.
+So i took Luminum, added magnum again and also Tess for knowledge and structure.
+
+This is the third iteration. For my taste this is the best one, with a little bit more of Tess in the mix. Sadly all three models seem to repeat stuff in the long run. Let's say the character gives you a first kiss... It can happen that two or three scenes later the character tries again to give you your first kiss.  
+
+
+## Quants
+- [exl2-8.0](https://huggingface.co/schnapper79/lumikabra-123B_v0.3-exl2-8.0bpw)
+
+
+## Merge Details
+### Merge Method
+
+This model was merged using [mergekit](https://github.com/cg123/mergekit) with the della_linear merge method using mistralai_Mistral-Large-Instruct-2407 as a base.
+
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: /workspace/text-generation-webui/models/anthracite-org_magnum-v2-123b
+    parameters:
+      weight: 0.34
+      density: 0.5
+  - model: /workspace/text-generation-webui/models/FluffyKaeloky_Luminum-v0.1-123B
+    parameters:
+      weight: 0.24
+      density: 0.8
+  - model: /workspace/text-generation-webui/models/migtissera_Tess-3-Mistral-Large-2-123B
+    parameters:
+      weight: 0.34
+      density: 0.9      
+merge_method: della_linear
+base_model: /workspace/text-generation-webui/models/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": "/workspace/text-generation-webui/models/mistralai_Mistral-Large-Instruct-2407",
+    "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": "0.2.0",
+        "bits": 5.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+models:
+  - model: /workspace/text-generation-webui/models/anthracite-org_magnum-v2-123b
+    parameters:
+      weight: 0.34
+      density: 0.5
+  - model: /workspace/text-generation-webui/models/FluffyKaeloky_Luminum-v0.1-123B
+    parameters:
+      weight: 0.24
+      density: 0.8
+  - model: /workspace/text-generation-webui/models/migtissera_Tess-3-Mistral-Large-2-123B
+    parameters:
+      weight: 0.34
+      density: 0.9      
+merge_method: della_linear
+base_model: /workspace/text-generation-webui/models/mistralai_Mistral-Large-Instruct-2407
+parameters:
+  epsilon: 0.05
+  lambda: 1
+  int8_mask: true
+dtype: bfloat16

model.safetensors.index.json

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