MLX
Safetensors
qwen3_5
apple-silicon
decision-making
routing
mixture-of-experts
moqle
lora
agents
e2e-testing
games
multilingual
system-one
Instructions to use labqoat/squad-0.8b-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use labqoat/squad-0.8b-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download labqoat/squad-0.8b-MLX --local-dir squad-0.8b-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
qev-s-0.8b: qev-0.8b + router + games and e2e-tester specialists (2-bit), bundle qevS2d
f7b2adf verified Download preprocessor_config.json from labqoat/squad-0.8b-MLX: direct link, hf CLI and curl.
- Browser
- Download file 390 Bytes
-
https://huggingface.co/labqoat/squad-0.8b-MLX/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://labqoat/squad-0.8b-MLX/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/labqoat/squad-0.8b-MLX/resolve/main/preprocessor_config.json
390 Bytes
| { | |
| "size": { | |
| "longest_edge": 16777216, | |
| "shortest_edge": 65536 | |
| }, | |
| "patch_size": 16, | |
| "temporal_patch_size": 2, | |
| "merge_size": 2, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "processor_class": "Qwen3VLProcessor", | |
| "image_processor_type": "Qwen2VLImageProcessorFast" | |
| } |