初始化项目，由ModelHub XC社区提供模型

Model: Undi95/Emerhyst-20B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- not-for-all-audiences
+- nsfw
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/mvc3UyLtqKdLY1wzAdB_O.png)
+
+Merge of [Amethyst 13B](https://huggingface.co/Undi95/Amethyst-13B) and [Emerald 13B](https://huggingface.co/Undi95/Emerald-13B).
+
+In addition, [LimaRP v3](https://huggingface.co/lemonilia/LimaRP-Llama2-13B-v3-EXPERIMENT) was used, is it recommanded to read the documentation.
+
+<!-- description start -->
+## Description
+
+This repo contains fp16 files of Emerhyst-20B.
+
+<!-- description end -->
+<!-- description start -->
+## Models and loras used
+
+- PygmalionAI/pygmalion-2-13b
+- Xwin-LM/Xwin-LM-13B-V0.1
+- The-Face-Of-Goonery/Huginn-13b-FP16
+- zattio770/120-Days-of-LORA-v2-13B
+- lemonilia/LimaRP-Llama2-13B-v3-EXPERIMENT
+
+<!-- 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:
+
+```
+
+## LimaRP v3 usage and suggested settings
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/ZC_iP2KkcEcRdgG_iyxYE.png)
+
+You can follow these instruction format settings in SillyTavern. Replace tiny with your desired response length:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/PIn8_HSPTJEMdSEpNVSdm.png)
+
+Special thanks to Sushi.
+
+If you want to support me, you can [here](https://ko-fi.com/undiai).
+# [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__Emerhyst-20B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 51.85   |
+| ARC (25-shot)         | 61.69          |
+| HellaSwag (10-shot)   | 84.98    |
+| MMLU (5-shot)         | 56.98         |
+| TruthfulQA (0-shot)   | 54.16   |
+| Winogrande (5-shot)   | 76.09   |
+| GSM8K (5-shot)        | 8.49        |
+| DROP (3-shot)         | 20.56         |

config.json

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+{
+  "_name_or_path": "/workspace/Amethyst-part1",
+  "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": 62,
+  "num_key_value_heads": 40,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.33.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.33.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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