初始化项目，由ModelHub XC社区提供模型

Model: Undi95/Emerald-13B
Source: Original Platform

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/ZBzF77-1jKc4sC25UY5DR.png)
+
+An attempt using [BlockMerge_Gradient](https://github.com/Gryphe/BlockMerge_Gradient) on [Pygmalion2](https://huggingface.co/PygmalionAI/pygmalion-2-13b) to get better result.
+
+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 Emerald-13B.
+
+<!-- description end -->
+<!-- description start -->
+## Models and loras used
+
+- PygmalionAI/pygmalion-2-13b
+- The-Face-Of-Goonery/Huginn-13b-FP16
+- 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__Emerald-13B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 51.39   |
+| ARC (25-shot)         | 62.29          |
+| HellaSwag (10-shot)   | 83.69    |
+| MMLU (5-shot)         | 55.7         |
+| TruthfulQA (0-shot)   | 50.94   |
+| Winogrande (5-shot)   | 75.93   |
+| GSM8K (5-shot)        | 12.81        |
+| DROP (3-shot)         | 18.38         |