TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ6

Qwen3-Embedding-0.6B — MLX oQ6

Quality warning: this 0.6B Q6-family checkpoint preserved the small retrieval smoke but failed the predeclared minimum aligned-cosine fidelity gate.

This is the oQ mixed-precision affine quantization checkpoint from a matched local embedding-quantization experiment. It is published with explicit lineage, calibration evidence where applicable, and the bounded evaluation result that accompanied the conversion.

Provenance and lineage

• Upstream model: Qwen/Qwen3-Embedding-0.6B
• Upstream revision recorded for publication: 97b0c614be4d77ee51c0cef4e5f07c00f9eb65b3
• Revision evidence: exact source snapshot retained in the local Hugging Face download metadata
• Direct parent: TiGa-RCE/Qwen3-Embedding-0.6B-MLX-BF16
• Conversion rule: every quantized checkpoint branches directly from the family MLX BF16 checkpoint; no lossy checkpoint was used to create another.
• Quantization: oQ mixed-precision affine quantization, nominal 6-bit, group size 64
• Local conversion stack: oMLX 0.5.3, mlx-lm 0.31.3, MLX 0.32.0
• Full collection: MLX Embedding Quantization Matrix

PROVENANCE.json contains machine-readable lineage and SHA-256 hashes for the published weight files. No importance matrix was used for this checkpoint.

Bounded local evaluation

Metric	Result
Top-1 retrieval	1.000
MRR	1.000
Mean aligned cosine vs BF16	0.994867
Minimum aligned cosine vs BF16	0.976844
Score RMSE vs BF16	0.010770
Queries with rank change	0
Predeclared gate	FAIL

The evaluation used 24 frozen query/document pairs, the upstream query instruction recipe, last-token pooling, L2 normalization, and direct comparison with vectors from the family BF16 checkpoint. This is an engineering smoke test, not MTEB and not a claim of universal quality. Retrieval success and representation fidelity are reported separately.

Runtime scope

This checkpoint targets Apple Silicon through MLX/oMLX. CUDA and PyTorch results are a separate control lane and must not be interpreted as measurements of MLX/Metal kernel performance.

License and attribution

Apache-2.0, following the upstream model card. The original model authors retain attribution for the upstream model; this repository contains a local MLX conversion or quantized derivative prepared by TiGa-RCE for reproducibility research.