Instructions to use FluidInference/laya-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use FluidInference/laya-coreml with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download reports/verification-multilingual-L128-w4.json from FluidInference/laya-coreml: direct link, hf CLI and curl.
- Browser
- Download file 18.2 kB
-
https://huggingface.co/FluidInference/laya-coreml/resolve/de76e2e0eb03d7cbcd76e1324ab80198245120e0/reports/verification-multilingual-L128-w4.json
- Command line
-
hf download hf://FluidInference/laya-coreml@de76e2e0eb03d7cbcd76e1324ab80198245120e0/reports/verification-multilingual-L128-w4.json
-
curl -L -o verification-multilingual-L128-w4.json https://huggingface.co/FluidInference/laya-coreml/resolve/de76e2e0eb03d7cbcd76e1324ab80198245120e0/reports/verification-multilingual-L128-w4.json
18.2 kB
| { | |
| "package": "laya_multilingual_w4_L128_options32.mlpackage", | |
| "package_files_sha256": { | |
| "Data/com.apple.CoreML/model.mlmodel": "c63a2e91dca84518e5dfac91b506daa42d35e0577b0fc7db93538b813f99d3fa", | |
| "Data/com.apple.CoreML/weights/weight.bin": "573c65383a9b8ded8f6c5bb0e7f10b137cdb454cd6e0ccc3a5a1e2f5611c52af", | |
| "Manifest.json": "e5d5e20a35f0d1d94974834915b607c1eee46cdb91ad7a350f96926ca0255263" | |
| }, | |
| "source_repo": "convaiinnovations/laya", | |
| "source_revision": "1c5edc17a7acd8701df6fc341c0d179f1c62c982", | |
| "variant": "multilingual", | |
| "length": 128, | |
| "max_options": 32, | |
| "precision": "w4", | |
| "package_bytes": 456441713, | |
| "environment": { | |
| "chip": "Apple M5 Pro", | |
| "os": "27.0", | |
| "python": "3.12.13", | |
| "torch": "2.7.0", | |
| "coremltools": "9.0" | |
| }, | |
| "gates": { | |
| "argmax_agreement": "100%", | |
| "max_probability_error": 0.02, | |
| "max_action_probability_error": 0.02, | |
| "finite": true, | |
| "padding_masked": true | |
| }, | |
| "cases_sha256": "4de4e34309c421913524209b62bb7c8a0a232928bd228ec12e884347ce65eeed", | |
| "runs": { | |
| "ALL": { | |
| "compute_units": "ALL", | |
| "load_seconds": 1.0729787919553928, | |
| "questions": 16, | |
| "argmax_agreements": 12, | |
| "max_probability_error": 0.7274829745292664, | |
| "max_action_probability_error": 0.0, | |
| "latency_ms": { | |
| "p50": 3.9001669792924076, | |
| "p95": 4.311243767733686, | |
| "min": 3.7357090041041374, | |
| "max": 5.792083975393325 | |
| }, | |
| "skipped": [], | |
| "rows": [ | |
| { | |
| "case": "tetris_clean", | |
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| "tokens": 80, | |
| "options": 2, | |
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| "coreml_argmax": 0, | |
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| "max_action_probability_error": 0.0, | |
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| "probability_sum": 0.9998779296875, | |
| "median_ms": 4.182292002951726 | |
| }, | |
| { | |
| "case": "tetris_flat", | |
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| "median_ms": 3.85877100052312 | |
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| "coreml_argmax": 1, | |
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| "passed": false | |
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| { | |
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| { | |
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| "finite": true, | |
| "padding_masked": true, | |
| "probability_sum": 1.0006256103515625, | |
| "median_ms": 3.673125000204891 | |
| } | |
| ], | |
| "passed": false | |
| } | |
| }, | |
| "passed": false | |
| } | |