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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - merge
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+ - moe
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+ ---
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+ Open_Gpt4_v0.2
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+
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+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/T7QKB0fKNHQvNqAjm8zrH.jpeg)
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+
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+ This model is a TIES merger of Mixtral-8x7B-Instruct-v0.1 and bagel-8x7b-v0.2 with MixtralOrochi8x7B being the Base model.
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+
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+
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+ 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,
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+ 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. 😊
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+
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+ This is the second iteration of this model, using better models in the merger to improve performance (hopefully).
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+
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+ Base model:
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+
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+ - https://huggingface.co/smelborp/MixtralOrochi8x7B
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+
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+ Merged models:
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+
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+ - https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
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+
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+ - https://huggingface.co/jondurbin/bagel-8x7b-v0.2
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+
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+
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+ Instruct template: Alpaca
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+
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+
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+ Merger config:
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+ ```
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+ models:
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+ - model: Mixtral-8x7B-Instruct-v0.1
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+ parameters:
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+ density: .5
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+ weight: .7
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+ - model: bagel-8x7b-v0.2
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+ parameters:
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+ density: .5
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+ weight: 1
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+
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+
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+ merge_method: ties
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+ base_model: MixtralOrochi8x7B
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "Open_Gpt4_8x7B_v0.2",
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+ "architectures": [
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+ "MixtralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mixtral",
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+ "num_attention_heads": 32,
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+ "num_experts_per_tok": 2,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "num_local_experts": 8,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "router_aux_loss_coef": 0.02,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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