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README.md

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+---
+license: other
+license_name: mrl
+language:
+- en
+tags:
+- chat
+pipeline_tag: text-generation
+library_name: transformers
+base_model: MarsupialAI/Monstral-123B-v2
+base_model_relation: quantized
+quantized_by: FluffyKaeloky
+
+---
+# Monstral 123B v2
+A Mistral-Large merge
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65a531bc7ec6af0f95c707b1/sf_mh-yR7V7ghi7M8UnPS.png)
+
+This model is a hybrid merge of Behemoth 1.2, Tess, and Magnum V4.  The intention was to do a three-way slerp merge, which is technically 
+not possible.  To simulate the effeect of a menage-a-slerp, I slerped B1.2 with tess, then separately did B1.2 with magnum.  I then did a 
+model stock merge of those two slerps using B1.2 as the base.  Somehow, it worked out spectacularly well.  Sometimes dumb ideas pay off.
+
+Mergefuel: 
+- TheDrummer/Behemoth-123B-v1.2
+- anthracite-org/magnum-v4-123b
+- migtissera/Tess-3-Mistral-Large-2-123B
+
+See recipe.txt for full details.
+
+Improvements over Monstral v1:  Drummer's 1.2 tune of behemoth is a marked improvement over the original, and the addition ot tess to the 
+mix really makes the creativity pop.  I seem to have dialed out the rapey magnum influence, without stripping it of the ability to get mean 
+and/or dirty when the situation actually calls for it.  The RP output of this model shows a lot more flowery and "literary" description of 
+scenes and activities.  It's more colorful and vibrant.  Repitition is dramatically reduced, as is slop (though to a lesser extent).  The 
+annoying tendency to double-describe things with "it was X, almost Y" is virtually gone.  Do you like a slow-burn story that builds over 
+time?  Well good fucking news, because v2 excels at that.
+
+The only complaint I've received is occasional user impersonation with certain cards.  I've not seen this myself on any of my cards, so I 
+have to assume it's down to the specific formatting on specific cards.  I don't want to say it's a skill issue, but...
+
+This model is uncensored and perfectly capable of generating objectionable material.  I have not observed it injecting NSFW content into
+SFW scenarios, but no guarentees can be made.  As with any LLM, no factual claims made by the model should be taken at face value.  You 
+know that boilerplate safety disclaimer that most professional models have? Assume this has it too.  This model is for entertainment 
+purposes only. 
+ 
+GGUFs:  https://huggingface.co/MarsupialAI/Monstral-123B-v2_GGUF
+
+
+# Prompt Format
+Metharme seems to work flawlessly.  In theory, mistral V3 or possibly even chatml should work to some extent, but meth was providing such 
+high quality output that I couldn't even be bothered to test the others.  Just do meth, kids.

config.json

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+{
+    "_name_or_path": "I:\\raw\\behemoth12",
+    "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": "float16",
+    "transformers_version": "4.46.1",
+    "use_cache": true,
+    "vocab_size": 32768,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.4",
+        "bits": 4.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+models:
+  - model: I:\raw\monstral2m
+  - model: I:\raw\monstral2t
+merge_method: model_stock
+base_model: I:\raw\behemoth12
+dtype: float16

model.safetensors.index.json

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