Feature Extraction
MLX
Safetensors
qwen3
embeddings
sentence-similarity
quantization
omlx
q8
8-bit precision
Instructions to use TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-Embedding-0.6B-MLX-Q8 TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 1,868 Bytes
999b7ad | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | {
"schema_version": 1,
"published_repository": "TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q8",
"family": "Qwen3-Embedding-0.6B",
"variant": "Q8",
"upstream_repository": "Qwen/Qwen3-Embedding-0.6B",
"upstream_revision": "97b0c614be4d77ee51c0cef4e5f07c00f9eb65b3",
"upstream_revision_evidence": "exact source snapshot retained in local Hugging Face download metadata",
"direct_parent": "TiGa-RCE/Qwen3-Embedding-0.6B-MLX-BF16",
"direct_parent_weight_hashes": [
{
"file": "model.safetensors",
"sha256": "87d77ce03148999dec3d5b73168df202d4b15862ea335658ec015e9bba07b14f",
"bytes": 1191588265
}
],
"conversion": {
"method": "Q uniform affine quantization",
"nominal_bits": 8,
"group_size": 64,
"importance_matrix": false,
"importance_matrix_samples": null,
"importance_matrix_sequence_length": null,
"stack": {
"omlx": "0.5.3",
"mlx_lm": "0.31.3",
"mlx": "0.32.0"
},
"lossy_parent": false
},
"weight_files": [
{
"file": "model.safetensors",
"sha256": "173906cb5b0146b8c5c7de1d39db834e4c20cd3a7cc4bcb39cba6936c4925866",
"bytes": 633152542
}
],
"evaluation": {
"pair_count": 24,
"top1": 1.0,
"recall_at_5": 1.0,
"mrr": 1.0,
"mean_aligned_embedding_cosine_vs_bf16": 0.9992561936378479,
"minimum_aligned_embedding_cosine_vs_bf16": 0.9978445172309875,
"score_rmse_vs_bf16": 0.004443829879164696,
"queries_with_rank_change": 0,
"gate_passed": true,
"gate_criteria": {
"top1_delta_min": 0.0,
"recall_at_5_delta_min": 0.0,
"mrr_delta_min": -0.01,
"minimum_aligned_embedding_cosine_min": 0.99,
"queries_with_rank_change_max": 2
}
},
"collection": "https://huggingface.co/collections/TiGa-RCE/mlx-embedding-quantization-matrix-q-oq-oqe-at-4-6-8-bit-6a68d11afb238d4fe967d70b"
}
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