MLX
Safetensors
English
qwen3_5
decision-making
classification
calibration
routing
guardrails
prompt-injection
agents
games
on-device
system-one
jev
Instructions to use labqoat/qev-0.8b-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use labqoat/qev-0.8b-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download labqoat/qev-0.8b-MLX --local-dir qev-0.8b-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from labqoat/qev-0.8b-MLX: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/labqoat/qev-0.8b-MLX/resolve/main/tokenizer.json
- Command line
-
hf download hf://labqoat/qev-0.8b-MLX/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/labqoat/qev-0.8b-MLX/resolve/main/tokenizer.json
20 MB
- Xet hash:
- e558cdad9a88d177076f9525ed4ef2d55dfd5dafafd6baac7c6105590ab49b7b
- Size of remote file:
- 20 MB
- SHA256:
- a5cd9732badce41de57e6efce8302930ded1c1188c5f81feb2bd6c24c4a1941f
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