初始化项目，由ModelHub XC社区提供模型

Model: VitalContribution/Evangelion-7B
Source: Original Platform

README.md

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+---
+license: apache-2.0
+library_name: transformers
+datasets:
+- argilla/distilabel-intel-orca-dpo-pairs
+pipeline_tag: text-generation
+model-index:
+- name: Evangelion-7B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 68.94
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=VitalContribution/Evangelion-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 86.45
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=VitalContribution/Evangelion-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 63.97
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=VitalContribution/Evangelion-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 64.01
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=VitalContribution/Evangelion-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 79.95
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=VitalContribution/Evangelion-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 66.94
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=VitalContribution/Evangelion-7B
+      name: Open LLM Leaderboard
+---
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/63ae02ff20176b2d21669dd6/AID8texkGhpCPrxEtb2MF.png" width="300" />
+
+🌐 Company Website 🔗 [Mozaic AI Solutions](https://mozaic-ai-solutions.com/)
+
+---
+
+## ✨ Overview  
+We were curious to see what happens if one uses:  
+$$
+\text{{high-quality DPO dataset}} + \text{{merge of DPO optimized and non-DPO optimized model}}
+$$  
+
+The underlying model used was:  
+[`/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp`](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp)
+
+---
+
+
+# Dataset
+Dataset: `/argilla/distilabel-intel-orca-dpo-pairs`
+
+The dataset was roughly ~3000 samples but they were high quality (according to the chosen_score).  
+The following filters were applied to the original dataset:
+```python
+dataset = dataset.filter(
+    lambda r:
+        r["status"] != "tie" and
+        r["chosen_score"] >= 8 and
+        not r["in_gsm8k_train"]
+)
+```
+
+# Chat Template
+I decided to go with the ChatML which is used for OpenHermes2.5
+By the way I integreated the chat template into the models tokenizer.
+```
+<|im_start|>system
+{system}<|im_end|>
+<|im_start|>user
+{user}<|im_end|>
+<|im_start|>assistant
+{asistant}<|im_end|>
+```
+# [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_VitalContribution__Evangelion-7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |71.71|
+|AI2 Reasoning Challenge (25-Shot)|68.94|
+|HellaSwag (10-Shot)              |86.45|
+|MMLU (5-Shot)                    |63.97|
+|TruthfulQA (0-shot)              |64.01|
+|Winogrande (5-shot)              |79.95|
+|GSM8k (5-shot)                   |66.94|
+