Instructions to use twainsk/qev-450m-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use twainsk/qev-450m-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download twainsk/qev-450m-mlx --local-dir qev-450m-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download reports/paired_tests.json from twainsk/qev-450m-mlx: direct link, hf CLI and curl.
- Browser
- Download file 1.9 kB
-
https://huggingface.co/twainsk/qev-450m-mlx/resolve/main/reports/paired_tests.json
- Command line
-
hf download hf://twainsk/qev-450m-mlx/reports/paired_tests.json
-
curl -L -o paired_tests.json https://huggingface.co/twainsk/qev-450m-mlx/resolve/main/reports/paired_tests.json
1.9 kB
| [ | |
| { | |
| "a": "vl-a", | |
| "b": "qwen35-causal", | |
| "subset": "general", | |
| "n": 880, | |
| "accuracy_a": 0.7886363636363637, | |
| "accuracy_b": 0.8170454545454545, | |
| "only_a_correct": 44, | |
| "only_b_correct": 69, | |
| "exact_mcnemar_p": 0.023534002126010038 | |
| }, | |
| { | |
| "a": "vl-a", | |
| "b": "qwen35-causal", | |
| "subset": "snake", | |
| "n": 500, | |
| "accuracy_a": 0.988, | |
| "accuracy_b": 0.992, | |
| "only_a_correct": 1, | |
| "only_b_correct": 3, | |
| "exact_mcnemar_p": 0.625 | |
| }, | |
| { | |
| "a": "t230-a", | |
| "b": "qwen35-causal", | |
| "subset": "general", | |
| "n": 880, | |
| "accuracy_a": 0.7738636363636363, | |
| "accuracy_b": 0.8170454545454545, | |
| "only_a_correct": 52, | |
| "only_b_correct": 90, | |
| "exact_mcnemar_p": 0.001801710219750172 | |
| }, | |
| { | |
| "a": "t230-a", | |
| "b": "qwen35-causal", | |
| "subset": "snake", | |
| "n": 500, | |
| "accuracy_a": 0.99, | |
| "accuracy_b": 0.992, | |
| "only_a_correct": 2, | |
| "only_b_correct": 3, | |
| "exact_mcnemar_p": 1.0 | |
| }, | |
| { | |
| "a": "vl-a", | |
| "b": "t230-a", | |
| "subset": "general", | |
| "n": 880, | |
| "accuracy_a": 0.7886363636363637, | |
| "accuracy_b": 0.7738636363636363, | |
| "only_a_correct": 75, | |
| "only_b_correct": 62, | |
| "exact_mcnemar_p": 0.3052427781333533 | |
| }, | |
| { | |
| "a": "vl-a", | |
| "b": "t230-a", | |
| "subset": "snake", | |
| "n": 500, | |
| "accuracy_a": 0.988, | |
| "accuracy_b": 0.99, | |
| "only_a_correct": 2, | |
| "only_b_correct": 3, | |
| "exact_mcnemar_p": 1.0 | |
| }, | |
| { | |
| "a": "vl-a", | |
| "b": "lfm2-causal", | |
| "subset": "general", | |
| "n": 880, | |
| "accuracy_a": 0.7886363636363637, | |
| "accuracy_b": 0.7568181818181818, | |
| "only_a_correct": 73, | |
| "only_b_correct": 45, | |
| "exact_mcnemar_p": 0.012602628706921444 | |
| }, | |
| { | |
| "a": "vl-a", | |
| "b": "lfm2-causal", | |
| "subset": "snake", | |
| "n": 500, | |
| "accuracy_a": 0.988, | |
| "accuracy_b": 0.986, | |
| "only_a_correct": 3, | |
| "only_b_correct": 2, | |
| "exact_mcnemar_p": 1.0 | |
| } | |
| ] | |