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README.md

@@ -17,7 +17,6 @@ base_model:
 - meta-llama/Llama-4-Scout-17B-16E
 tags:
 - facebook
-- unsloth
 - meta
 - pytorch
 - llama
@@ -98,12 +97,7 @@ extra_gated_heading: "Please be sure to provide your full legal name, date of bi
 license: other
 license_name: llama4
 ---
-<div>
-  <p style="margin-bottom: 0; margin-top: 0;">
-    <strong>See <a href="https://huggingface.co/collections/unsloth/llama-4-67f19503d764b0f3a2a868d2">our collection</a> for versions of Llama 4 including 4-bit & 16-bit formats.</strong>
-  </p>
-  </div>
-</div>
+
 
 ## Model Information
 
@@ -275,7 +269,7 @@ In this section, we report the results for Llama 4 relative to our previous mode
 | Image Understanding | ChartQA | 0 | relaxed\_accuracy |  |  | 88.8 | 90.0 |
 |  | DocVQA (test) | 0 | anls |  |  | 94.4 | 94.4 |
 | Coding | LiveCodeBench (10/01/2024-02/01/2025) | 0 | pass@1 | 33.3 | 27.7 | 32.8 | 43.4 |
-| Reasoning & Knowledge | MMLU Pro | 0 | macro\_avg/em | 68.9 | 73.4 | 74.3 | 80.5 |
+| Reasoning & Knowledge | MMLU Pro | 0 | macro\_avg/acc | 68.9 | 73.4 | 74.3 | 80.5 |
 |  | GPQA Diamond | 0 | accuracy | 50.5 | 49.0 | 57.2 | 69.8 |
 | Multilingual | MGSM | 0 | average/em | 91.1 | 91.6 | 90.6 | 92.3 |
 | Long context | MTOB (half book) eng-\>kgv/kgv-\>eng | \- | chrF | Context window is 128K |  | 42.2/36.6 | 54.0/46.4 |