Update README.md

README.md

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+---
+language:
+  - en
+  - de
+  - fr
+  - it
+  - pt
+  - hi
+  - es
+  - nl
+license: llama3.1
+library_name: transformers
+pipeline_tag: text-classification
+tags:
+  - brand-safety
+  - content-moderation
+  - apple-silicon
+  - metal
+  - mps
+model-index:
+  - name: vision-1-mini
+    results:
+      - task:
+          type: text-classification
+          name: Brand Safety Classification
+        metrics:
+          - type: accuracy
+            value: 0.95
+            name: Classification Accuracy
+base_model: meta-llama/Llama-2-8b-chat
+model_type: LlamaForCausalLM
+model_size: "4.58 GiB"
+parameters: "8.03B"
+quantization: "Q4_K (193 tensors) + Q6_K (33 tensors)"
+context_window: 131072
+hardware:
+  recommended: "Apple Silicon"
+  minimum_memory: "6 GB"
+inference:
+  device: "Metal (Apple M3 Pro)"
+  load_time: "3.27s"
+  memory_cpu: "4552.80 MiB"
+  memory_metal: "132.50 MiB"
+---
+
 # vision-1-mini
 
 Vision-1-mini is an optimized 8B parameter model based on Llama 3.1, specifically designed for brand safety classification. This model is particularly optimized for Apple Silicon devices and provides efficient, accurate brand safety assessments using the BrandSafe-16k classification system.