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  license: apache-2.0
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  ---
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  ## 💻 Usage
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  ```python
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  import transformers
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  import torch
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- model = "mayacinka/ExpertRamonda-7Bx2_MoE"
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  tokenizer = AutoTokenizer.from_pretrained(model)
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  pipeline = transformers.pipeline(
 
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  license: apache-2.0
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  ---
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ base_model: /home/Ubuntu/Desktop/mergekit/models/Mistral-7B-Instruct-v0.2
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+ gate_mode: hidden
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+ dtype: bfloat16
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+ experts:
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+ - source_model: /home/Ubuntu/Desktop/mergekit/models/Mistral-7B-Instruct-v0.2
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+ positive_prompts:
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+ - "instructions"
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+ - "concise"
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+ - "straightforward"
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+ - "helpful"
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+ - "assistant"
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+ negative_prompts:
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+ - "vague"
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+ - "inaccurate"
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+ - "verbose"
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+ - "complicated"
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+ - "speculative"
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+ - source_model: /home/Ubuntu/Desktop/mergekit/models/NeuralOmniWestBeaglake-7B
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+ positive_prompts:
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+ - "storytelling"
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+ - "role play"
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+ - "imagine"
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+ - "artistic"
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+ - "narrative"
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+ - source_model: /home/Ubuntu/Desktop/mergekit/models/Kunoichi-DPO-v2-7B
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+ positive_prompts:
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+ - "reason"
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+ - "think step by step"
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+ - "logic"
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+ - "knowledge"
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+ negative_prompts:
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+ - "artistic"
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+ - "speculative"
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+ - "playful"
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+ - source_model: /home/Ubuntu/Desktop/mergekit/models/Starling-LM-7B-alpha
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+ positive_prompts:
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+ - "code"
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+ - "python"
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+ - "javascript"
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+ - "react"
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+ - "clear"
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+ - "programming"
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+ negative_prompts:
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+ - "error"
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+ - "art"
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+ - "role play"
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+ ```
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  ## 💻 Usage
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  ```python
 
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  import transformers
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  import torch
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+ model = "mayacinka/West-Ramen-7Bx4"
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  tokenizer = AutoTokenizer.from_pretrained(model)
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  pipeline = transformers.pipeline(