Update README.md

README.md

@@ -14,11 +14,10 @@ CPU-optimized embedding server using **FastEmbed** with ONNX quantized models.
 
 ## Models
 
-| Type | Model | Dimensions | Size |
-|------|-------|------------|------|
-| **Dense** | `jinaai/jina-embeddings-v2-base-code` | 768 | 0.64 GB |
-| **Sparse** | `Qdrant/bm25` | BM25 | 0.01 GB |
-| **Reranker** | `jinaai/jina-reranker-v1-tiny-en` | - | 0.13 GB |
+Models:
+- Dense: BAAI/bge-base-en-v1.5	 (768 dim)
+- Sparse: Qdrant/bm25 (BM25, 0.01GB)
+- Reranker: jinaai/jina-reranker-v1-turbo-en	 (0.13GB)
 
 **Total: ~0.78 GB** - Fits easily in CPU Basic (2 vCPU, 16GB RAM)