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README.md CHANGED
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  ---
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- license: cc-by-nc-4.0
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model: []
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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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+ # merge
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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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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using D:/MLnonsense/models/TeeZee_Mistral-7B-v0.1-fp32 as a base.
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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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+ * D:/MLnonsense/models/fearlessdots_WizardLM-2-7B-abliterated
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+ * D:/MLnonsense/models/Gryphe_MythoMist-7b
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+ * D:/MLnonsense/models/Sao10K_Frostwind-v2.1-m7
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+ * D:/MLnonsense/models/senseable_Westlake-7b-v2
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+ * D:/MLnonsense/models/maywell_PiVoT-0.1-Evil-a
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+ * D:/MLnonsense/models/Undi95_Toppy-M-7B
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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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+ models:
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+ - model: D:/MLnonsense/models/fearlessdots_WizardLM-2-7B-abliterated
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+ parameters:
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+ weight: 1.0
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+ - model: D:/MLnonsense/models/Undi95_Toppy-M-7B
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+ parameters:
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+ weight:
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+ - filter: self_attn
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+ value: 0.8
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+ - value: 0.5
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+ - model: D:/MLnonsense/models/senseable_Westlake-7b-v2
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+ parameters:
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+ weight:
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+ - filter: self_attn
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+ value: 0.6
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+ - value: 0.4
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+ - model: D:/MLnonsense/models/maywell_PiVoT-0.1-Evil-a
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+ parameters:
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+ weight:
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+ - filter: mlp
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+ value: 0.2
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+ - value: 0.0
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+ - model: D:/MLnonsense/models/Sao10K_Frostwind-v2.1-m7
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+ parameters:
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+ weight:
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+ - filter: self_attn
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+ value: 0.2
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+ - filter: mlp
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+ value: 0.8
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+ - value: 0.5
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+ - model: D:/MLnonsense/models/Gryphe_MythoMist-7b
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+ parameters:
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+ weight:
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+ - filter: mlp
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+ value: 0.6
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+ - value: 0.0
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+ base_model: D:/MLnonsense/models/TeeZee_Mistral-7B-v0.1-fp32
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+ merge_method: task_arithmetic
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+ dtype: float32
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "ToastyPigeon/Blackmagic-7B",
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+ "architectures": [
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+ "MistralForCausalLM"
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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": 8192,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.42.3",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
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+ # Toaster's notes
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+ # self-attention: 1.0 (Wizard) + 0.8 (Toppy) + 0.6 (Westlake) + 0.2 (Frostwind)
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+ # Meant to combine the smarter models together in this part, theoretically affects model attention to prompt.
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+ # multi-layer perceptron: 1.0 (Wizard) + 0.8 (Frostwind) + 0.6 (MythoMist) + 0.5 (Toppy) + 0.4 (Westlake) + 0.2 (Evil)
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+ # Meant to define the 'style' of the model - emphasis on the more creative models, though the smart ones occur as well to keep things together. A dash of evil should (theoretically) be enough, in my experience Toxic models don't need high concentrations to work.
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+ # Remainder values: I'm mostly guessing here. Things like lm_head are affected by this; least thought put into it.
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+
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+ models:
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+ - model: D:/MLnonsense/models/fearlessdots_WizardLM-2-7B-abliterated
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+ parameters:
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+ weight: 1.0
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+ - model: D:/MLnonsense/models/Undi95_Toppy-M-7B
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+ parameters:
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+ weight:
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+ - filter: self_attn
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+ value: 0.8
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+ - value: 0.5
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+ - model: D:/MLnonsense/models/senseable_Westlake-7b-v2
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+ parameters:
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+ weight:
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+ - filter: self_attn
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+ value: 0.6
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+ - value: 0.4
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+ - model: D:/MLnonsense/models/maywell_PiVoT-0.1-Evil-a
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+ parameters:
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+ weight:
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+ - filter: mlp
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+ value: 0.2
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+ - value: 0.0
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+ - model: D:/MLnonsense/models/Sao10K_Frostwind-v2.1-m7
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+ parameters:
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+ weight:
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+ - filter: self_attn
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+ value: 0.2
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+ - filter: mlp
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+ value: 0.8
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+ - value: 0.5
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+ - model: D:/MLnonsense/models/Gryphe_MythoMist-7b
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+ parameters:
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+ weight:
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+ - filter: mlp
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+ value: 0.6
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+ - value: 0.0
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+ base_model: D:/MLnonsense/models/TeeZee_Mistral-7B-v0.1-fp32
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+ merge_method: task_arithmetic
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+ dtype: float32
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