Oscar Wu
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Updated README
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README.md
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@@ -20,9 +20,9 @@ This repository contains [`meta-llama/Llama-3.1-8B-Instruct`](https://huggingfac
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## Table 1: xMAD vs. Unsloth vs. Meta
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| ----------------------------------------------------------------------------------------------------------------- | --------- | -------------- | --------- | ---------------- | -------------- | --------- | ---------- | --------- |
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| [xmadai/Llama-3.1-8B-Instruct-xMADai-INT4](https://huggingface.co/xmadai/Llama-3.1-8B-Instruct-xMADai-INT4) | **66.83** | **52.3** | **82.11** | **65.73** | **73.
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| [unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit) | 65.91 | 51.37 | 80.89 | 63.98 | 71.49 | 79.43 | 73.80 | 58.51 |
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| [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) | 68.05 | 51.71 | 81.9 | 66.18 | 73.55 | 79.87 | 73.72 | 59.10 |
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## Table 1: xMAD vs. Unsloth vs. Meta
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| | MMLU | Arc Challenge | Arc Easy | LAMBADA Standard | LAMBADA OpenAI | *PIQA | Winogrande | HellaSwag |
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| ----------------------------------------------------------------------------------------------------------------- | --------- | -------------- | --------- | ---------------- | -------------- | --------- | ---------- | --------- |
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| [xmadai/Llama-3.1-8B-Instruct-xMADai-INT4](https://huggingface.co/xmadai/Llama-3.1-8B-Instruct-xMADai-INT4) | **66.83** | **52.3** | **82.11** | **65.73** | **73.30** | **79.88** | **72.77** | **58.49** |
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| [unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit) | 65.91 | 51.37 | 80.89 | 63.98 | 71.49 | 79.43 | 73.80 | 58.51 |
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| [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) | 68.05 | 51.71 | 81.9 | 66.18 | 73.55 | 79.87 | 73.72 | 59.10 |
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