MrRobotoAI
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Browse files- README.md +117 -0
- config.json +38 -0
- mergekit_config.yml +64 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +28 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +47 -0
README.md
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---
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base_model:
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- MrRobotoAI/Test002a
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- MrRobotoAI/Test001a
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- MrRobotoAI/Hathor
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- Aratako/Antler-7B-Novel-Writing
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- OmnicromsBrain/NeuralStar_Fusion-7B
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- FPHam/Writing_Partner_Mistral_7B
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- OmnicromsBrain/ToppyCox-7B
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- OmnicromsBrain/StoryFusion-7B
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- Aratako/SniffyOtter-7B-Novel-Writing-NSFW
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- FPHam/Autolycus-Mistral_7B
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- FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B
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- OmnicromsBrain/EverythingBagel-DPO-7B
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- OmnicromsBrain/Eros_Scribe-7b
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [MrRobotoAI/Test001a](https://huggingface.co/MrRobotoAI/Test001a) 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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* [MrRobotoAI/Test002a](https://huggingface.co/MrRobotoAI/Test002a)
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* [MrRobotoAI/Hathor](https://huggingface.co/MrRobotoAI/Hathor)
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* [Aratako/Antler-7B-Novel-Writing](https://huggingface.co/Aratako/Antler-7B-Novel-Writing)
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* [OmnicromsBrain/NeuralStar_Fusion-7B](https://huggingface.co/OmnicromsBrain/NeuralStar_Fusion-7B)
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* [FPHam/Writing_Partner_Mistral_7B](https://huggingface.co/FPHam/Writing_Partner_Mistral_7B)
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* [OmnicromsBrain/ToppyCox-7B](https://huggingface.co/OmnicromsBrain/ToppyCox-7B)
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* [OmnicromsBrain/StoryFusion-7B](https://huggingface.co/OmnicromsBrain/StoryFusion-7B)
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* [Aratako/SniffyOtter-7B-Novel-Writing-NSFW](https://huggingface.co/Aratako/SniffyOtter-7B-Novel-Writing-NSFW)
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* [FPHam/Autolycus-Mistral_7B](https://huggingface.co/FPHam/Autolycus-Mistral_7B)
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* [FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B](https://huggingface.co/FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B)
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* [OmnicromsBrain/EverythingBagel-DPO-7B](https://huggingface.co/OmnicromsBrain/EverythingBagel-DPO-7B)
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* [OmnicromsBrain/Eros_Scribe-7b](https://huggingface.co/OmnicromsBrain/Eros_Scribe-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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### This the config.yml for ABC_Books/test003 ###
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models:
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- model: OmnicromsBrain/Eros_Scribe-7b
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parameters:
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weight: 0.1111
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density: 0.9
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- model: OmnicromsBrain/EverythingBagel-DPO-7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: OmnicromsBrain/NeuralStar_Fusion-7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: OmnicromsBrain/StoryFusion-7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: OmnicromsBrain/ToppyCox-7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: Aratako/Antler-7B-Novel-Writing
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parameters:
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weight: 0.1111
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density: 0.9
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- model: Aratako/SniffyOtter-7B-Novel-Writing-NSFW
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parameters:
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weight: 0.1111
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density: 0.9
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- model: FPHam/Autolycus-Mistral_7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: FPHam/Writing_Partner_Mistral_7B
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parameters:
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weight: 0.0556
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density: 0.9
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### Here they add in a previously worked model that understands writing styles, literature, poetry, psychology, and philosophy, but still retain some bias and is censored. They also add in the two previous merges to the final merge as well. ###
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- model: MrRobotoAI/Hathor
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parameters:
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weight: 0.1111
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density: 0.9
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### Notice that the last merge will only constitute a small portion of the final model ###
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- model: MrRobotoAI/Test002a
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parameters:
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weight: 0.0556
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density: 0.9
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- model: MrRobotoAI/Test001a
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parameters:
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weight: 0.1111
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density: 0.9
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merge_method: dare_ties
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base_model: MrRobotoAI/Test001a
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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```
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config.json
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{
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"_name_or_path": "MrRobotoAI/Test001a",
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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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"auto_map": {
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"AutoConfig": "NousResearch/Yarn-Mistral-7b-128k--configuration_mistral.MistralConfig",
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"AutoModelForCausalLM": "NousResearch/Yarn-Mistral-7b-128k--modeling_mistral_yarn.MistralForCausalLM"
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},
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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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"max_sequence_length": 131072,
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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_scaling": {
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"factor": 16.0,
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"finetuned": true,
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"original_max_position_embeddings": 8192,
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"type": "yarn"
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},
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"rope_theta": 10000.0,
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"sliding_window": 131072,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.44.1",
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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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### This the config.yml for ABC_Books/test003 ###
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models:
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- model: OmnicromsBrain/Eros_Scribe-7b
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parameters:
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weight: 0.1111
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density: 0.9
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- model: OmnicromsBrain/EverythingBagel-DPO-7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: OmnicromsBrain/NeuralStar_Fusion-7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: OmnicromsBrain/StoryFusion-7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: OmnicromsBrain/ToppyCox-7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: Aratako/Antler-7B-Novel-Writing
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parameters:
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weight: 0.1111
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density: 0.9
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- model: Aratako/SniffyOtter-7B-Novel-Writing-NSFW
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parameters:
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weight: 0.1111
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density: 0.9
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- model: FPHam/Autolycus-Mistral_7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B
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parameters:
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weight: 0.0556
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density: 0.9
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- model: FPHam/Writing_Partner_Mistral_7B
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parameters:
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weight: 0.0556
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density: 0.9
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### Here they add in a previously worked model that understands writing styles, literature, poetry, psychology, and philosophy, but still retain some bias and is censored. They also add in the two previous merges to the final merge as well. ###
|
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+
- model: MrRobotoAI/Hathor
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parameters:
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weight: 0.1111
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+
density: 0.9
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### Notice that the last merge will only constitute a small portion of the final model ###
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- model: MrRobotoAI/Test002a
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parameters:
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weight: 0.0556
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density: 0.9
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- model: MrRobotoAI/Test001a
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parameters:
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weight: 0.1111
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density: 0.9
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merge_method: dare_ties
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base_model: MrRobotoAI/Test001a
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:978df3e65904b9d546b28168780bdf8820e904e2e4e48c4c8fdb09a18baa409a
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size 4886546912
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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],
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"bos_token": {
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"content": "<s>",
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"eos_token": {
|
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|
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"single_word": false
|
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}
|
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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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 +1,47 @@
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"special": true
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},
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"1": {
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|
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}
|
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"additional_special_tokens": [
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"<unk>",
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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