初始化项目，由ModelHub XC社区提供模型

Model: OwenArli/ArliAI-Llama-3-8B-Instruct-ORPO-v0.1
Source: Original Platform

README.md

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+---
+license: llama3
+---
+Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
+https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
+
+
+ORPO fine tuning method using the following datasets:
+- https://huggingface.co/datasets/Intel/orca_dpo_pairs
+- https://huggingface.co/datasets/argilla/distilabel-math-preference-dpo
+- https://huggingface.co/datasets/unalignment/toxic-dpo-v0.2
+- https://huggingface.co/datasets/M4-ai/prm_dpo_pairs_cleaned
+- https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1
+
+Despite the toxic datasets to reduce refusals, this model is still relatively safe but refuses less than the original Meta model.
+
+As of now ORPO fine tuning seems to improve some metrics while reducing other metrics by a lot:
+
+![OpenLLM Leaderboard](https://huggingface.co/AwanLLM/Awanllm-Llama-3-8B-Instruct-ORPO-v0.1/blob/main/Screenshot%202024-05-01%20204933.png "OpenLLM Leaderboard")
+
+
+Instruct format:
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+
+Quants: