Ttimofeyka
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Browse files- .gitattributes +2 -0
- PiVot-Noromaid-NSFW-Mistral-7B_Q4_0.gguf +3 -0
- PiVot-Noromaid-NSFW-Mistral-7B_Q5_K_M.gguf +3 -0
- README.md +44 -1
- added_tokens.json +5 -0
- config.json +26 -0
- mergekit_config.yml +16 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +41 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +72 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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PiVot-Noromaid-NSFW-Mistral-7B_Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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PiVot-Noromaid-NSFW-Mistral-7B_Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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PiVot-Noromaid-NSFW-Mistral-7B_Q4_0.gguf
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PiVot-Noromaid-NSFW-Mistral-7B_Q5_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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README.md
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---
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-
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---
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---
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base_model:
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- MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1
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- maywell/PiVoT-0.1-Starling-LM-RP
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tags:
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- mergekit
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- merge
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---
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# PiVot-Noromaid-NSFW-Mistral-7B-GGUF
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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 SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1)
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* [maywell/PiVoT-0.1-Starling-LM-RP](https://huggingface.co/maywell/PiVoT-0.1-Starling-LM-RP)
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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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slices:
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- sources:
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- model: maywell/PiVoT-0.1-Starling-LM-RP
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layer_range: [0, 32]
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- model: MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1
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layer_range: [0, 32]
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merge_method: slerp
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base_model: maywell/PiVoT-0.1-Starling-LM-RP
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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added_tokens.json
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{
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"<sep>": 32002,
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"<|end_of_turn|>": 32000,
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"<|pad_0|>": 32001
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}
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config.json
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{
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"_name_or_path": "maywell/PiVoT-0.1-Starling-LM-RP",
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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": 32000,
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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": "bfloat16",
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"transformers_version": "4.37.2",
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"use_cache": false,
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"vocab_size": 32003
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: maywell/PiVoT-0.1-Starling-LM-RP
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layer_range: [0, 32]
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- model: MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1
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layer_range: [0, 32]
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merge_method: slerp
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base_model: maywell/PiVoT-0.1-Starling-LM-RP
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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model.safetensors.index.json
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tokenizer.json
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tokenizer.model
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18 |
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19 |
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20 |
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},
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21 |
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"2": {
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22 |
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23 |
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24 |
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25 |
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26 |
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27 |
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28 |
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},
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29 |
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"32000": {
|
30 |
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"content": "<|end_of_turn|>",
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31 |
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32 |
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33 |
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34 |
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35 |
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36 |
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},
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37 |
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38 |
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"content": "<|pad_0|>",
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39 |
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40 |
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41 |
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42 |
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43 |
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44 |
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},
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45 |
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"32002": {
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46 |
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"content": "<sep>",
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47 |
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48 |
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49 |
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50 |
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51 |
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52 |
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}
|
53 |
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},
|
54 |
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|
55 |
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"<|end_of_turn|>",
|
56 |
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"<|pad_0|>"
|
57 |
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],
|
58 |
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"bos_token": "<s>",
|
59 |
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|
60 |
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"eos_token": "<|end_of_turn|>",
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61 |
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62 |
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63 |
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"pad_token": "<|end_of_turn|>",
|
64 |
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"sep_token": "<sep>",
|
65 |
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"sp_model_kwargs": {},
|
66 |
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|
67 |
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"tokenizer_class": "LlamaTokenizer",
|
68 |
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"trust_remote_code": false,
|
69 |
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"unk_token": "<unk>",
|
70 |
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"use_default_system_prompt": true,
|
71 |
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"use_fast": true
|
72 |
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}
|