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README.md

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+---
+base_model:
+- mistralai/Mixtral-8x7B-v0.1
+- Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+- mistralai/Mixtral-8x7B-v0.1
+- LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA
+- rombodawg/Open_Gpt4_8x7B_v0.2
+- mistralai/Mixtral-8x7B-Instruct-v0.1
+- mistralai/Mixtral-8x7B-v0.1
+- Sao10K/Typhon-Mixtral-v1
+tags:
+- mergekit
+- merge
+license: cc-by-4.0
+---
+# mergeout
+
+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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora)
+* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA](https://huggingface.co/LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA)
+* [rombodawg/Open_Gpt4_8x7B_v0.2](https://huggingface.co/rombodawg/Open_Gpt4_8x7B_v0.2)
+* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
+* [Sao10K/Typhon-Mixtral-v1](https://huggingface.co/Sao10K/Typhon-Mixtral-v1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: mistralai/Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      density: 0.6
+      weight: 1.0
+  - model: rombodawg/Open_Gpt4_8x7B_v0.2
+    parameters:
+      density: 0.5
+      weight: 0.8
+  - model: mistralai/Mixtral-8x7B-v0.1+LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA
+    parameters:
+      density: 0.5
+      weight: 0.6        
+  - model: Sao10K/Typhon-Mixtral-v1
+    parameters:
+      density: 0.5
+      weight: 0.7
+  - model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+    parameters:
+      density: 0.5
+      weight: 0.4      
+merge_method: dare_ties
+base_model: mistralai/Mixtral-8x7B-v0.1
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+name: Mega-Destroyer-8x7B
+
+```
+High quality GGUF quants available here: https://huggingface.co/Artefact2/Mega-Destroyer-8x7B-GGUF (Thank you, Artefact for quanting it using an imatrix!)
+
+Hello everyone, this is Dampf. You might know me as the creator of Mythical-Destroyer-13B.
+
+This time, I collaborated with Mr.DragonFox aka FoxEngineAi, harnessing his powerful rig to deliver a Merge of multiple high quality Mixtral 8x7B models. My goal was to beat Bagel-Mistery-Tour V2 by Ycros and create the best Mixtral model to date. Did I succeed? Please try it out and decide for yourself!
+
+Aside from the obvious Mixtral Instruct, to keep its intelligence, I've merged Rombo's excellent Open_Gpt4_v0.2 model that consists of Jon Durbin's Bagel-DPO-8x7B and another highly regarded model, namely smelborp/MixtralOrochi8x7B. This model also combines different datasets together, meaning it should be agood fit for every task you throw at it. This model acts like the reasoning part in the merge.
+In contrast, we have Air-Striker and LimaRP at the creative side which will allow for great roleplays in different styles, they are also a good fit to enhance the model's writing capabilities greatly.
+
+And finally, I've merged Sao10K/Typhon-Mixtral-v1 to boost the story writing capabilities even further. It includes KoboldAI's latest Holodeck model, as well as a couple of his latest models and combines it into one package. My hope is that this will capture the magic Sao10K/Fimbulvetr-11B-v2 emits, just at the intelligence level of a Mixtral model. This one also includes Nous Hermes 2 DPO, a high quality instruct model that will boost its intelligence and sorta act like a balancer to all the creative stuff in the merge.
+
+What we have here is a model that should be fantastic at instruct and roleplay/creative tasks a like. So basically a general purpose model. Perhaps the pinnacle of Rocksmashing? Idk xD I just know it includes nearly all datasets on the sun. As a reason, it will likely work with every prompt format as well. So feel free to use Alpaca, Vicuna, ChatML, Llama 2 Chat or whatever your heart desires.
+
+A huge thank you to the creators of these fantastic datasets and fine tunes in the respective merges, namely Jon Durbin, Teknium, Sao10K, MistralAI, LoneStriker, NeverSleep, Suikamelon, Doctor-Shotgun, KoboldAI and more. All credit goes to them. A thank you to the creators of the different merges I've merged (Mergeception!) as well! And of course a thank you to MrDragonFox for lending his compute! Please enjoy :D

config.json

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+{
+    "_name_or_path": "mistralai/Mixtral-8x7B-v0.1",
+    "architectures": [
+        "MixtralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 32768,
+    "model_type": "mixtral",
+    "num_attention_heads": 32,
+    "num_experts_per_tok": 2,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "num_local_experts": 8,
+    "output_router_logits": false,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "router_aux_loss_coef": 0.02,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.38.2",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.21",
+        "bits": 4.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "pippa_raw_fix.parquet"
+        }
+    }
+}

mergekit_config.yml

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+models:
+  - model: mistralai/Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      density: 0.6
+      weight: 1.0
+  - model: rombodawg/Open_Gpt4_8x7B_v0.2
+    parameters:
+      density: 0.5
+      weight: 0.8
+  - model: mistralai/Mixtral-8x7B-v0.1+LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA
+    parameters:
+      density: 0.5
+      weight: 0.6        
+  - model: Sao10K/Typhon-Mixtral-v1
+    parameters:
+      density: 0.5
+      weight: 0.7
+  - model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+    parameters:
+      density: 0.5
+      weight: 0.4      
+merge_method: dare_ties
+base_model: mistralai/Mixtral-8x7B-v0.1
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+name: Mega-Destroyer-8x7B

model.safetensors.index.json

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