初始化项目，由ModelHub XC社区提供模型

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

.gitattributes

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README.md

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+---
+license: cc-by-nc-4.0
+---
+
+Merge:
+```shell
+[Xwin (0.66) + ReMM (0.33)] x [Xwin (0.33) + MLewd (0.66)]
+```
+
+The goal was to recreate https://huggingface.co/Undi95/MXLewd-L2-20B in 13B without using merge interlacing (will probably be a little less good).
+<!-- description start -->
+## Models used
+
+- Undi95/MLewd-L2-13B-v2-3
+- Undi95/ReMM-v2.1-L2-13B
+- Xwin-LM/Xwin-LM-13B-V0.1
+<!-- description end -->
+
+One part is ReMM (0.33) and Xwin (0.66)
+
+One part is Xwin (0.33) and MLewd (0.66)
+## Prompt template: Alpaca
+
+```
+Below is an instruction that describes a task. Write a response that completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
+```

added_tokens.json

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+{
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+}

config.json

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+{
+  "_name_or_path": "./MXLewdMini-L2-13B-part2",
+  "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",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.33.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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special_tokens_map.json

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tokenizer_config.json

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+}