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  1. config.json +32 -0
  2. mergekit_moe_config.yml +24 -0
  3. model-00001-of-00039.safetensors +3 -0
  4. model-00002-of-00039.safetensors +3 -0
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  41. model-00039-of-00039.safetensors +3 -0
  42. model.safetensors.index.json +1 -0
  43. special_tokens_map.json +24 -0
  44. tokenizer.json +0 -0
  45. tokenizer.model +3 -0
  46. tokenizer_config.json +44 -0
config.json ADDED
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+ {
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+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.1",
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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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+ "head_dim": 128,
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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": 6,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "router_aux_loss_coef": 0.001,
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+ "router_jitter_noise": 0.0,
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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": "4.44.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_moe_config.yml ADDED
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+ base_model: mistralai/Mistral-7B-Instruct-v0.1
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+ gate_mode: approach # one of "hidden", "cheap_embed", or "random"
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+ dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
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+ ## (optional)
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+ # experts_per_token: 2
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+ experts:
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+ - source_model: Treza12/Biomistral-Class0-Full
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+ positive_prompts:
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+ - "This is a prompt that is demonstrative of what expert_model_1 excels at Screening"
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+ - source_model: Treza12/Biomistral-Class1-Full
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+ positive_prompts:
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+ - "This is a prompt that is demonstrative of what expert_model_1 excels at Diagnosis"
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+ - source_model: Treza12/Biomistral-Class2-Full
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+ positive_prompts:
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+ - "This is a prompt that is demonstrative of what expert_model_1 excels at Staging"
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+ - source_model: Treza12/Biomistral-Class3-Full
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+ positive_prompts:
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+ - "This is a prompt that is demonstrative of what expert_model_1 excels at Treatment Selection"
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+ - source_model: Treza12/Biomistral-Class4-Full
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+ positive_prompts:
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+ - "This is a prompt that is demonstrative of what expert_model_1 excels at Prognosis"
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+ - source_model: Treza12/Biomistral-Class5-Full
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+ positive_prompts:
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+ - "This is a prompt that is demonstrative of what expert_model_1 excels at Follow-up"
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