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 Space 6 days ago
TiGa-RCE/embedding-quantization-cuda-control new activity 7 days ago
ayooo123/Qwen-Image-Edit-NSFWpyyy:🚩 Report: Illegal or restricted content published an article 14 days ago
Training a Looped Transformer: When to Repeat, Review, and StopOrganizations
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 • 21 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4
Feature Extraction • 0.6B • Updated • 16 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4e
Feature Extraction • 0.6B • Updated • 28 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q6
Feature Extraction • 0.6B • Updated • 20
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 • 21 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4
Feature Extraction • 0.6B • Updated • 16 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4e
Feature Extraction • 0.6B • Updated • 28 -
TiGa-RCE/Qwen3-Embedding-0.6B-MLX-Q6
Feature Extraction • 0.6B • Updated • 20