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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- moe
+---
+Open_Gpt4_v0.2
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/T7QKB0fKNHQvNqAjm8zrH.jpeg)
+
+This model is a TIES merger of Mixtral-8x7B-Instruct-v0.1  and bagel-8x7b-v0.2 with MixtralOrochi8x7B being the Base model.
+
+
+I was very impressed with MixtralOrochi8x7B performance and multifaceted usecases as it is already a merger of many usefull Mixtral models such as Mixtral instruct, 
+Noromaid-v0.1-mixtral, openbuddy-mixtral and possibly other models that were not named. My goal was to expand the models capabilities and make it even more useful of a model, maybe even competitive with closed source models like Gpt-4. But for that more testing is required. I hope the community can help me determine if its deserving of its name. 😊
+
+This is the second iteration of this model, using better models in the merger to improve performance (hopefully).
+
+Base model: 
+
+- https://huggingface.co/smelborp/MixtralOrochi8x7B
+
+Merged models:
+
+- https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
+
+- https://huggingface.co/jondurbin/bagel-8x7b-v0.2
+
+
+Instruct template: Alpaca
+
+
+Merger config:
+```
+models:
+  - model: Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      density: .5
+      weight: .7
+  - model: bagel-8x7b-v0.2
+    parameters:
+      density: .5
+      weight: 1
+
+
+merge_method: ties
+base_model: MixtralOrochi8x7B
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "Open_Gpt4_8x7B_v0.2",
+  "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": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors.index.json

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