{ "schema_version": 1, "published_repository": "TiGa-RCE/gte-Qwen2-1.5B-instruct-MLX-BF16", "family": "gte-Qwen2-1.5B-instruct", "variant": "bf16", "upstream_repository": "Alibaba-NLP/gte-Qwen2-1.5B-instruct", "upstream_revision": "a9af15a6372d7d6b25e9fb07c2ccb9e1fe645644", "upstream_revision_evidence": "upstream revision verified at publication time; historical local snapshot metadata was not retained", "direct_parent": "Alibaba-NLP/gte-Qwen2-1.5B-instruct", "direct_parent_weight_hashes": null, "conversion": { "method": "BF16 MLX conversion", "nominal_bits": null, "group_size": null, "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": "9e9da58bd1371c47a08bc82f58bd29d33a6831094372dd717d68148f061dd11a", "bytes": 3552432732 } ], "evaluation": { "role": "BF16 reference", "pair_count": 24, "top1": 1.0, "mrr": 1.0, "gate": "reference" }, "collection": "https://huggingface.co/collections/TiGa-RCE/mlx-embedding-quantization-matrix-q-oq-oqe-at-4-6-8-bit-6a68d11afb238d4fe967d70b" }