Download v2/config.json from Qhub-AI/QAdapt: direct link, hf CLI and curl.
- Browser
- Download file 568 Bytes
-
https://huggingface.co/Qhub-AI/QAdapt/resolve/main/v2/config.json
- Command line
-
hf download hf://Qhub-AI/QAdapt/v2/config.json
-
curl -L -o config.json https://huggingface.co/Qhub-AI/QAdapt/resolve/main/v2/config.json
568 Bytes
| { | |
| "release_version": "v2", | |
| "architectures": [ | |
| "HTnet" | |
| ], | |
| "model_id": 111, | |
| "model_file": "model.safetensors", | |
| "dtype": "float32", | |
| "parameters": 650332, | |
| "code_rotation": "O1", | |
| "training_distance": 9, | |
| "training_rounds": 9, | |
| "role": "H_EWC", | |
| "upstream_commit": "33acb152e403bc189f2effdb07f1a87b34c745f1", | |
| "htnet_ablation": { | |
| "branch_mixer": true, | |
| "axis_channel_gate": false, | |
| "input_skip_head": true | |
| }, | |
| "channels": 112, | |
| "expand_channels": 168, | |
| "num_blocks": 3, | |
| "joint_groups": 6, | |
| "norm_groups": 8, | |
| "se_reduction": 4 | |
| } | |