初始化项目，由ModelHub XC社区提供模型

Model: mlabonne/UltraLlama-3.1-8B
Source: Original Platform

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README.md

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+---
+base_model: unsloth/Meta-Llama-3.1-8B
+library_name: peft
+---
+
+# UltraLlama-3.1-8B 
+
+Llama 3.1 8B model trained on a high-quality magpie dataset to measure its quality:
+
+
+| Model                    | MMLU  | Hellaswag | ARC-C | GSM8K | TruthfulQA | Winogrande | IFEval | MMLU-Pro | MATH Lvl 5 | GPQA  | MuSR  | BBH   |
+| ------------------------ | ----- | --------- | ----- | ----- | ---------- | ---------- | ------ | -------- | ---------- | ----- | ----- | ----- |
+| Meta-Llama-3.1-8B        | 65.28 | 82.09     | 59.22 | 51.02 | 45.15      | 77.58      | 11.45  | 32.74    | 4.38       | 30.93 | 7.98  | 46.77 |
+| Meta-Llama-3-8B-Instruct | 65.60 | 78.79     | 61.95 | 75.28 | 51.66      | 75.77      | 47.43  | 5.87     | 7.95       | 30.11 | 37.92 | 49.04 |
+| FineLlama-3.1-8B         | 62.22 | 80.30     | 55.55 | 51.02 | 49.51      | 75.30      | 1.68   | 30.90    | 4.12       | 27.45 | 35.77 | 44.22 |
+| **UltraLlama-3.1-8B**    | 54.36 | 74.98     | 55.46 | 51.10 | 49.93      | 72.05      | 10.19  | 26.63    | 3.08       | 25.47 | 40.93 | 42.44 |
+
+Magpie underperforms FineTome-100k. The quality looks okay, but not as good as high-quality open-source datasets.

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special_tokens_map.json

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