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 dataset 10 days ago
TiGa-RCE/sno-article-1-evidence published a dataset 10 days ago
TiGa-RCE/sno-article-1-evidence updated a model 14 days ago
TiGa-RCE/gemma-4-12B-it-oQ8eOrganizations
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 • 0.6B • Updated • 25 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4
Feature Extraction • 0.6B • Updated • 19 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4e
Feature Extraction • 0.6B • Updated • 23 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q6
Feature Extraction • 0.6B • Updated • 21
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 • 0.6B • Updated • 25 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4
Feature Extraction • 0.6B • Updated • 19 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4e
Feature Extraction • 0.6B • Updated • 23 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q6
Feature Extraction • 0.6B • Updated • 21