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README.md

@@ -6,10 +6,13 @@ base_model_relation: quantized
 
 # jina-embeddings-v4-gguf
 
-[Read this blog post for more details](https://jina.ai/news/optimizing-ggufs-for-decoder-only-embedding-models)
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 A collection of GGUF and quantizations for [`jina-embeddings-v4`](https://huggingface.co/jinaai/jina-embeddings-v4).
 
+> [!IMPORTANT]
+> We highly recommend to first read [this blog post for more technical details and customized llama.cpp build](https://jina.ai/news/optimizing-ggufs-for-decoder-only-embedding-models).
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 ## Overview
 
 `jina-embeddings-v4` is a cutting-edge universal embedding model [for multimodal multilingual retrieval](https://jina.ai/news/jina-embeddings-v4-universal-embeddings-for-multimodal-multilingual-retrieval). It's based on `qwen2.5-vl-3b-instruct` with three LoRA adapters: `retrieval` (optimized for retrieval tasks), `text-matching` (optimized for sentence similarity tasks), and `code` (optimized for code retrieval tasks). It is also heavily trained for visual document retrieval and late-interaction style multi-vector output.
@@ -206,4 +209,6 @@ main: number of embeddings = 5090
 | Q8_0 | 0.7938 | 0.5687 | 0.4784 | 0.4335 | 0.7851 | +7% | +0% | +11% | +2% | +4% | -1% | +7% | -0% | +0% | -1% |
 | F16 | 0.7940 | 0.5610 | 0.4931 | 0.4343 | 0.7963 | +7% | +0% | +9% | +1% | +7% | +2% | +7% | -0% | +2% | +0% |
 | v3 (Transformers) | 0.7393 | 0.5144 | 0.4600 | 0.4068 | 0.7820 | +0% | -7% | +0% | -8% | +0% | -5% | +0% | -6% | +0% | -2% |
-| v4 (Transformers) | 0.7977 | 0.5571 | 0.4844 | 0.4351 | 0.7963 | +8% | +0% | +8% | +0% | +5% | +0% | +7% | +0% | +2% | +0% |
+| v4 (Transformers) | 0.7977 | 0.5571 | 0.4844 | 0.4351 | 0.7963 | +8% | +0% | +8% | +0% | +5% | +0% | +7% | +0% | +2% | +0% |
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