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Browse files- README.md +70 -1
- config.json +26 -0
- mergekit_config.yml +46 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
README.md
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---
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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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# merge
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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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## Merge Details
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### Merge Method
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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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### Models Merged
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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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### Configuration
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The following YAML configuration was used to produce this model:
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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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```
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config.json
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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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}
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mergekit_config.yml
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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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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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special_tokens_map.json
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,40 @@
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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