初始化项目，由ModelHub XC社区提供模型

Model: KnutJaegersberg/deacon-13b
Source: Original Platform

README.md

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+---
+license: cc-by-nc-4.0
+datasets:
+- KnutJaegersberg/facehugger
+---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63732ebbbd81fae2b3aaf3fb/4OQkvAa1zOK4Devv-aUdL.png)
+
+
+This model was fine tuned on AI filtered subsets of GPT-4 based subset of the Dolphin dataset and EvolInstruct V2. 
+It has not been explicitly aligned to positive, negative or bureaucratically prescribed value systems. 
+It might kill us all! Time to shit your pants, regulators. I literally put black goo on Dolphin-7B sperm, which then fertilized Evolved Instructions... 
+What's different is evil... ;) 
+I intend to train 3 sizes. 
+
+Prompt Example:
+```
+### System:
+
+You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.
+
+
+### Instruction: 
+
+How do you fine tune a large language model? 
+
+### 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_KnutJaegersberg__deacon-13b)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 46.78   |
+| ARC (25-shot)         | 57.85          |
+| HellaSwag (10-shot)   | 82.63    |
+| MMLU (5-shot)         | 55.25         |
+| TruthfulQA (0-shot)   | 39.33   |
+| Winogrande (5-shot)   | 76.32   |
+| GSM8K (5-shot)        | 10.39        |
+| DROP (3-shot)         | 5.67         |