初始化项目，由ModelHub XC社区提供模型

Model: Undi95/MM-ReMM-L2-20B
Source: Original Platform

README.md

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+---
+license: cc-by-nc-4.0
+---
+
+Merge:
+```shell
+layer_slices:
+  - model: Gryphe/MythoMax-L2-13b
+    start: 0
+    end: 16
+  - model: Undi95/MM-ReMM-L2-20B-Part1
+    start: 8
+    end: 20
+  - model: Gryphe/MythoMax-L2-13b
+    start: 17
+    end: 32
+  - model: Undi95/MM-ReMM-L2-20B-Part1
+    start: 21
+    end: 40
+```
+
+<!-- description start -->
+## Models used
+
+- Gryphe/MythoMax-L2-13b
+- Undi95/ReMM-v2.1-L2-13B
+<!-- description end -->
+
+Part1 = ReMM v2.1 merged /w MythoMax low weight to keep consistency. I call this "dilution" and result show consistency and coherency without repeat/loop beside the small amount of duplicated datas.
+
+## Prompt template: Alpaca
+
+```
+Below is an instruction that describes a task. Write a response that completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
+```
+# [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__MM-ReMM-L2-20B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 51.14   |
+| ARC (25-shot)         | 60.84          |
+| HellaSwag (10-shot)   | 85.18    |
+| MMLU (5-shot)         | 56.45         |
+| TruthfulQA (0-shot)   | 53.33   |
+| Winogrande (5-shot)   | 75.77   |
+| GSM8K (5-shot)        | 7.73        |
+| DROP (3-shot)         | 18.66         |