Add int4mm test to the CUDA CI flow #15181
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15181
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 1 Unrelated FailureAs of commit 45cbb84 with merge base 11c0b4f ( NEW FAILURES - The following jobs have failed:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
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Oct 16, 2025
.github/workflows/cuda.yml
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| optimum-cli export executorch \ | ||
| --model "mistralai/Voxtral-Mini-3B-2507" \ | ||
| --task "multimodal-text-to-text" \ | ||
| --recipe "cuda" \ | ||
| --dtype bfloat16 \ | ||
| --device cuda \ | ||
| --max_seq_len 1024 \ | ||
| --qlinear 4w \ | ||
| --qlinear_encoder 4w \ | ||
| --qlinear_packing_format tile_packed_to_4d \ | ||
| --qlinear_encoder_packing_format tile_packed_to_4d \ | ||
| --output_dir ./ |
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Can you update the README.md file with this instructions?
https://github.com/pytorch/executorch/blob/main/examples/models/voxtral/README.md#cuda-support
2. Update models/voxtral/READEME.md with CUDA quantization
desertfire
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larryliu0820
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Oct 16, 2025
examples/models/voxtral/README.md
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| --max_seq_len 1024 \ | ||
| --qlinear 4w \ | ||
| --qlinear_encoder 4w \ | ||
| --qembedding 4w \ |
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if you're removing from CI, don't forget to update here as well
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