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maid-yuzu-v7

Text Generation
Transformers
Safetensors
mixtral
mergekit
Merge
text-generation-inference
Inference Endpoints
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  1. README.md +54 -0
  2. config.json +30 -0
  3. mergekit_config.yml +18 -0
  4. model-00001-of-00048.safetensors +3 -0
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README.md ADDED
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+ ---
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+ base_model:
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+ - ycros/BagelMIsteryTour-v2-8x7B
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+ - smelborp/MixtralOrochi8x7B
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+ - cognitivecomputations/dolphin-2.7-mixtral-8x7b
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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+ ---
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+ # maid-yuzu-v7
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ I don't know anything about merges, so this may be a stupid method, but I was curious how the models would be merged if I took this approach.
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the SLERP merge method.
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+
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+ This model is a model that first merges Model [Orochi](https://huggingface.co/smelborp/MixtralOrochi8x7B) with Model [dolphin](https://huggingface.co/cognitivecomputations/dolphin-2.7-mixtral-8x7b) with a 0.15 SLERP option, and then merges Model [BagelMIsteryTour](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B) with a 0.2 SLERP option based on the merged model.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [ycros/BagelMIsteryTour-v2-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B)
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+ * ../maid-yuzu-v7-base
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ base_model:
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+ model:
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+ path: ../maid-yuzu-v7-base
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+ dtype: bfloat16
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+ merge_method: slerp
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+ parameters:
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+ t:
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+ - value: 0.2
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model:
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+ model:
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+ path: ../maid-yuzu-v7-base
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+ - layer_range: [0, 32]
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+ model:
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+ model:
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+ path: ycros/BagelMIsteryTour-v2-8x7B
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+ ```
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+ {
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+ "_name_or_path": "../maid-yuzu-v7-base",
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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": "bfloat16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ base_model:
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+ model:
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+ path: ../maid-yuzu-v7-base
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+ dtype: bfloat16
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+ merge_method: slerp
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+ parameters:
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+ t:
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+ - value: 0.2
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model:
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+ model:
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+ path: ../maid-yuzu-v7-base
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+ - layer_range: [0, 32]
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+ model:
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+ model:
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+ path: ycros/BagelMIsteryTour-v2-8x7B
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