Update README.md

README.md

@@ -17,31 +17,3 @@ configs:
   - split: train
     path: mmlu_refined.csv
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-
-# 🚀 EXAONE-4.0-1.2B-Quantized-MMLU Evaluation Results
-
-This repository contains the refined evaluation results for the **EXAONE-4.0-1.2B-GPTQ** model using the MMLU benchmark.
-
-## 📊 Overview
-The evaluation was conducted to measure the model's multitask language understanding capabilities across 57 different subjects. To ensure stability and formatting consistency, we used a **5-shot** prompting approach.
-
-### 💻 Hardware & Software
-- **Model:** [MangoLab/EXAONE-4.0-1.2B-GPTQ]
-- **Accelerator:** AMD Instinct MI325 OAM
-- **Quantization:** GPTQ (W8A16 / fp8_w8a8)
-- **Framework:** `lm-evaluation-harness`
-
-## 📈 Performance Summary
-The table below shows a summary of the evaluation environment. Detailed per-subject accuracy can be viewed in the **Dataset Viewer** above.
-
-| Category | Details |
-| :--- | :--- |
-| **Benchmark** | MMLU (Massive Multitask Language Understanding) |
-| **Prompting** | 5-shot |
-| **Evaluation Date** | 2026-01-24 |
-
-## 📂 Directory Structure
-- `mmlu_refined.csv`: The main result file containing subject-wise accuracy (%).
-- `raw_data/`: Original JSON output files from the evaluation process for reproducibility.
-
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