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Qwen3-8B-w2g64-for-ut
Intel/Qwen3-8B-w2g64-for-ut
Qwen3-8B-w2g64-for-ut is a machine learning model from Intel. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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9.9K
Public
Parameters
1.8B
4.5 GB on disk
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Public
Repo makeup
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.safetensors4.5 GB · 100%
Parameter types
How the weights are stored.
BF161.2B · 69%
Model card
From the Hugging Face model README
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| mmlu | 2 | none | acc | 0.6046 | ± | 0.0039 | ||
| - humanities | 2 | none | 0 | acc | ↑ | 0.5305 | ± | 0.0069 |
| - formal_logic | 1 | none | 0 | acc | ↑ | 0.4444 | ± | 0.0444 |
| - high_school_european_history | 1 | none | 0 | acc | ↑ | 0.7394 | ± | 0.0343 |
| - high_school_us_history | 1 | none | 0 | acc | ↑ | 0.7402 | ± | 0.0308 |
| - high_school_world_history | 1 | none | 0 | acc | ↑ | 0.7764 | ± | 0.0271 |
| - international_law | 1 | none | 0 | acc | ↑ | 0.7686 | ± | 0.0385 |
| - jurisprudence | 1 | none | 0 | acc | ↑ | 0.6852 | ± | 0.0449 |
| - logical_fallacies | 1 | none | 0 | acc | ↑ | 0.7055 | ± | 0.0358 |
| - moral_disputes | 1 | none | 0 | acc | ↑ | 0.6301 | ± | 0.0260 |
| - moral_scenarios | 1 | none | 0 | acc | ↑ | 0.2804 | ± | 0.0150 |
| - philosophy | 1 | none | 0 | acc | ↑ | 0.6785 | ± | 0.0265 |
| - prehistory | 1 | none | 0 | acc | ↑ | 0.6698 | ± | 0.0262 |
| - professional_law | 1 | none | 0 | acc | ↑ | 0.4485 | ± | 0.0127 |
| - world_religions | 1 | none | 0 | acc | ↑ | 0.6784 | ± | 0.0358 |
| - other | 2 | none | 0 | acc | ↑ | 0.6633 | ± | 0.0082 |
| - business_ethics | 1 | none | 0 | acc | ↑ | 0.6700 | ± | 0.0473 |
| - clinical_knowledge | 1 | none | 0 | acc | ↑ | 0.6604 | ± | 0.0291 |
| - college_medicine | 1 | none | 0 | acc | ↑ | 0.6069 | ± | 0.0372 |
| - global_facts | 1 | none | 0 | acc | ↑ | 0.3700 | ± | 0.0485 |
| - human_aging | 1 | none | 0 | acc | ↑ | 0.6816 | ± | 0.0313 |
| - management | 1 | none | 0 | acc | ↑ | 0.7476 | ± | 0.0430 |
| - marketing | 1 | none | 0 | acc | ↑ | 0.8291 | ± | 0.0247 |
| - medical_genetics | 1 | none | 0 | acc | ↑ | 0.7600 | ± | 0.0429 |
| - miscellaneous | 1 | none | 0 | acc | ↑ | 0.7599 | ± | 0.0153 |
| - nutrition | 1 | none | 0 | acc | ↑ | 0.6699 | ± | 0.0269 |
| - professional_accounting | 1 | none | 0 | acc | ↑ | 0.4610 | ± | 0.0297 |
| - professional_medicine | 1 | none | 0 | acc | ↑ | 0.6176 | ± | 0.0295 |
| - virology | 1 | none | 0 | acc | ↑ | 0.4819 | ± | 0.0389 |
| - social sciences | 2 | none | 0 | acc | ↑ | 0.6974 | ± | 0.0081 |
| - econometrics | 1 | none | 0 | acc | ↑ | 0.4737 | ± | 0.0470 |
| - high_school_geography | 1 | none | 0 | acc | ↑ | 0.7172 | ± | 0.0321 |
| - high_school_government_and_politics | 1 | none | 0 | acc | ↑ | 0.7720 | ± | 0.0303 |
| - high_school_macroeconomics | 1 | none | 0 | acc | ↑ | 0.6128 | ± | 0.0247 |
| - high_school_microeconomics | 1 | none | 0 | acc | ↑ | 0.7143 | ± | 0.0293 |
| - high_school_psychology | 1 | none | 0 | acc | ↑ | 0.8128 | ± | 0.0167 |
| - human_sexuality | 1 | none | 0 | acc | ↑ | 0.7176 | ± | 0.0395 |
| - professional_psychology | 1 | none | 0 | acc | ↑ | 0.6127 | ± | 0.0197 |
| - public_relations | 1 | none | 0 | acc | ↑ | 0.6091 | ± | 0.0467 |
| - security_studies | 1 | none | 0 | acc | ↑ | 0.7551 | ± | 0.0275 |
| - sociology | 1 | none | 0 | acc | ↑ | 0.7413 | ± | 0.0310 |
| - us_foreign_policy | 1 | none | 0 | acc | ↑ | 0.7900 | ± | 0.0409 |
| - stem | 2 | none | 0 | acc | ↑ | 0.5668 | ± | 0.0085 |
| - abstract_algebra | 1 | none | 0 | acc | ↑ | 0.4400 | ± | 0.0499 |
| - anatomy | 1 | none | 0 | acc | ↑ | 0.5852 | ± | 0.0426 |
| - astronomy | 1 | none | 0 | acc | ↑ | 0.7039 | ± | 0.0372 |
| - college_biology | 1 | none | 0 | acc | ↑ | 0.7292 | ± | 0.0372 |
| - college_chemistry | 1 | none | 0 | acc | ↑ | 0.4200 | ± | 0.0496 |
| - college_computer_science | 1 | none | 0 | acc | ↑ | 0.5700 | ± | 0.0498 |
| - college_mathematics | 1 | none | 0 | acc | ↑ | 0.4100 | ± | 0.0494 |
| - college_physics | 1 | none | 0 | acc | ↑ | 0.3431 | ± | 0.0472 |
| - computer_security | 1 | none | 0 | acc | ↑ | 0.7400 | ± | 0.0441 |
| - conceptual_physics | 1 | none | 0 | acc | ↑ | 0.5957 | ± | 0.0321 |
| - electrical_engineering | 1 | none | 0 | acc | ↑ | 0.5586 | ± | 0.0414 |
| - elementary_mathematics | 1 | none | 0 | acc | ↑ | 0.5741 | ± | 0.0255 |
| - high_school_biology | 1 | none | 0 | acc | ↑ | 0.7839 | ± | 0.0234 |
| - high_school_chemistry | 1 | none | 0 | acc | ↑ | 0.5714 | ± | 0.0348 |
| - high_school_computer_science | 1 | none | 0 | acc | ↑ | 0.7400 | ± | 0.0441 |
| - high_school_mathematics | 1 | none | 0 | acc | ↑ | 0.3667 | ± | 0.0294 |
| - high_school_physics | 1 | none | 0 | acc | ↑ | 0.4768 | ± | 0.0408 |
| - high_school_statistics | 1 | none | 0 | acc | ↑ | 0.5231 | ± | 0.0341 |
| - machine_learning | 1 | none | 0 | acc | ↑ | 0.4286 | ± | 0.0470 |
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.6285 | ± | 0.0133 |
| strict-match | 5 | exact_match | ↑ | 0.6270 | ± | 0.0133 |
- Type
- qwen3
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026