Upstream Bonsai sources, Apple Silicon derivatives, and clearly labeled experimental oQe calibration artifacts.
TiGa PRO
TiGa-RCE
AI & ML interests
Training
Recent Activity
updated a model 2 days ago
TiGa-RCE/Scalpel-VL-1.6B-oQ2 published a model 2 days ago
TiGa-RCE/Scalpel-VL-1.6B-oQ2 updated a model 2 days ago
TiGa-RCE/Scalpel-VL-1.6B-oQ3Organizations
Thirty public MLX embedding checkpoints with explicit BF16 provenance, Q/oQ/oQe lineage, and matched representation-fidelity evaluation.
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TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q4
Feature Extraction • 93.1M • Updated • 31 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4
Feature Extraction • 96.8M • Updated • 22 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4e
Feature Extraction • 96.8M • Updated • 22 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q6
Feature Extraction • 0.1B • Updated • 23
Upstream Bonsai sources, Apple Silicon derivatives, and clearly labeled experimental oQe calibration artifacts.
Thirty public MLX embedding checkpoints with explicit BF16 provenance, Q/oQ/oQe lineage, and matched representation-fidelity evaluation.
-
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q4
Feature Extraction • 93.1M • Updated • 31 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4
Feature Extraction • 96.8M • Updated • 22 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4e
Feature Extraction • 96.8M • Updated • 22 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q6
Feature Extraction • 0.1B • Updated • 23