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python -m mlx_embeddings.convert --hf-path /Volumes/970EvoPlus/Users/mac_ex/github/mlx_converter/models/dragonkue--BGE-m3-ko --mlx-path /Volumes/970EvoPlus/Users/mac_ex/github/mlx_converter/models/dragonkue-BGE-m3-ko-mlx-affine-4bit -q --q-bits 4 --q-group-size 64| Parameter | Value |
|---|---|
| Converter | mlx_embeddings.convert |
| Source | dragonkue/BGE-m3-ko |
| Output | flaglow/dragonkue-BGE-m3-ko-mlx-affine-4bit |
| Quantized | yes |
| q-mode | affine |
| q-bits | 4 |
| q-group-size | 64 |
ocr_corpus_v3 / qa_v4).
Metrics: NDCG · F1 · Recall · Precision · mAP · mRR at top-k retrieval.
For these retrieval metrics, higher is better. Bold values mark the best score
for each metric at the same Top-k.| Quantization | Model | Top-k | NDCG | F1 | Recall | Precision | mAP | mRR |
|---|---|---|---|---|---|---|---|---|
| original | BGE-m3-ko | top_1 | 0.6404 | 0.6404 | 0.6404 | 0.6404 | 0.6404 | 0.6404 |
| affine-4bit | dragonkue-BGE-m3-ko-mlx-affine-4bit | top_1 | 0.6404 | 0.6404 | 0.6404 | 0.6404 | 0.6404 | 0.6404 |
| fp16 | dragonkue-BGE-m3-ko-mlx-fp16 | top_1 | 0.6754 | 0.6754 | 0.6754 | 0.6754 | 0.6754 | 0.6754 |
| original | BGE-m3-ko | top_3 | 0.7409 | 0.3991 | 0.7982 | 0.2661 | 0.7208 | 0.7208 |
| affine-4bit | dragonkue-BGE-m3-ko-mlx-affine-4bit | top_3 | 0.7619 | 0.4211 | 0.8421 | 0.2807 | 0.7339 | 0.7339 |
| fp16 | dragonkue-BGE-m3-ko-mlx-fp16 | top_3 | 0.7564 | 0.4211 | 0.8421 | 0.2807 | 0.7266 | 0.7266 |
| original | BGE-m3-ko | top_5 | 0.7811 | 0.2982 | 0.8947 | 0.1789 | 0.7428 | 0.7428 |
| affine-4bit | dragonkue-BGE-m3-ko-mlx-affine-4bit | top_5 | 0.777 | 0.2924 | 0.8772 | 0.1754 | 0.7427 | 0.7427 |
| fp16 | dragonkue-BGE-m3-ko-mlx-fp16 | top_5 | 0.7964 | 0.3012 | 0.9035 | 0.1807 | 0.7601 | 0.7601 |
| original | BGE-m3-ko | top_10 | 0.7918 | 0.1707 | 0.9386 | 0.0939 | 0.7448 | 0.7448 |
| affine-4bit | dragonkue-BGE-m3-ko-mlx-affine-4bit | top_10 | 0.792 | 0.1675 | 0.9211 | 0.0921 | 0.7493 | 0.7493 |
| fp16 | dragonkue-BGE-m3-ko-mlx-fp16 | top_10 | 0.8009 | 0.1722 | 0.9474 | 0.0947 | 0.7539 | 0.7539 |