初始化项目，由ModelHub XC社区提供模型

Model: Undi95/MLewd-L2-13B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: cc-by-nc-4.0
+---
+
+MLewd is a model created to be... Lewd. That's all. Based on ReMM.
+
+There was so much attempt on this model that I can't count them all. Bear with me lmao.
+
+The OG plan: https://pastebin.com/hfJ80rKL
+
+Command useds and explaination :
+```shell
+Due to hardware limitation, some merge was done in 2 part.
+
+Last mix :
+- ReMM (Base) (0.57)
+- Doctor-Shotgun/llama-2-13b-chat-limarp-v2-merged (Llama Chat Uncensored) (0.35)
+- KoboldAI/LLAMA2-13B-Holodeck-1 (0.08)
+
+Part 1: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./MLewdBase-L2-13B-part1  --merge Undi95/ReMM-L2-13B --density 0.88 --merge KoboldAI/LLAMA2-13B-Holodeck-1 --density 0.12 --cuda
+
+Part 2: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./MLewdBase-L2-13B  --merge Undi95/MLewdBase-L2-13B-part1 --density 0.65 --merge Doctor-Shotgun/llama-2-13b-chat-limarp-v2-merged --density 0.35 --cuda
+
+(MLewd-L2-13B-v1-2 got disqualified)
+
+- Applying LoRA: nRuaif/Kimiko-v2-13B at (0.24) weight on MLewd-L2-13B-v1-1
+=> Result: MLewd-L2-13B-v1-3
+
+================== ERP RANKING TEST ===========================
+
+19.42 | MLewd-L2-13B-v1-3.q5_K_M.gguf (-> Best)
+19.25 | MLewd-L2-13B-v1-1.q5_K_M.gguf
+18.25 | MLewd-L2-13B-v1-2.q5 K M.gguf
+
+================== RETRY ===========================
+
+Mix:
+- Undi95/MLewd-L2-13B-v1-3 (0.82)
+- Sao10K/Stheno-Inverted-L2-13B (0.18)
+
+!python ties_merge.py TheBloke/Llama-2-13B-fp16 ./MLewd-L2-13B-v1-7 --merge Undi95/MLewd-L2-13B-v1-3 --density 0.82 --merge Sao10K/Stheno-Inverted-L2-13B --density 0.18 --cuda
+=> Result: MLewd-L2-13B-v1-7
+
+
+Final touch (trying my best here) :
+MLewd-L2-13B-v1-7 (0.77) + zarakiquemparte/PIPPA-ShareGPT-Subset-QLora-13b (LoRA 0.23)
+=> MLewd-L2-13B-v1-7-TRY2
+
+FINAL : MLewd-L2-13B-v1-7-TRY2 (0.82) + BluemoonRP (0.18)
+=> MLewd-L2-13B-v1-8-3
+
+RIP to all the version that got trashed.
+```
+
+<!-- description start -->
+## Description
+
+This repo contains fp16 files of MLewd-L2-13B, a trying-to-be lewd LLM model.
+<!-- description end -->
+<!-- description start -->
+## Models used
+- Undi95/ReMM (Base)
+- Doctor-Shotgun/llama-2-13b-chat-limarp-v2-merged (Llama Chat Uncensored)
+- KoboldAI/LLAMA2-13B-Holodeck-1
+- Sao10K/Stheno-Inverted-L2-13B 
+## Loras used
+- nRuaif/BluemoonRP-L2-13B-This-time-will-be-better/tree/main/lora-out-13b-final-BM/checkpoint-15/adapter_model
+- zarakiquemparte/PIPPA-ShareGPT-Subset-QLora-13b
+<!-- description end -->
+<!-- prompt-template start -->
+## Prompt template: Alpaca
+
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
+
+```
+
+Special thanks to Sushi kek
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__MLewd-L2-13B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 46.84   |
+| ARC (25-shot)         | 58.28          |
+| HellaSwag (10-shot)   | 82.32    |
+| MMLU (5-shot)         | 54.67         |
+| TruthfulQA (0-shot)   | 48.66   |
+| Winogrande (5-shot)   | 73.48   |
+| GSM8K (5-shot)        | 1.29        |
+| DROP (3-shot)         | 9.18         |

config.json

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+{
+  "_name_or_path": "./Undi95_MLewd-L2-13B-v1-7-TRY2",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
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+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.32.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.1"
+}

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+    "model.norm.weight": "pytorch_model-00003-of-00003.bin"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,32 @@
+{
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "clean_up_tokenization_spaces": false,
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "use_default_system_prompt": true
+}