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add mxfp8 and nvfp4 to Llama eval scripts #3394
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vkuzo
added a commit
that referenced
this pull request
Nov 26, 2025
Summary:
Adds mxfp8 and nvfp4 to llama eval scripts.
Results:
```
// bf16 baseline
with-proxy time python torchao/_models/llama/eval.py --checkpoint_path
checkpoints/meta-llama/Meta-Llama-3.1-8B/model.pth --print_model --tasks
wikitext winogrande
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.5472105433748435, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.459319739134015,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5452960145272896, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7426992896606156,
'acc_stderr,none': 0.012285989618865697}
// mxfp8 with floor scaling, turned off compile as it seemed stuck in coordinate descent
tuning
with-proxy time python torchao/_models/llama/eval.py --checkpoint_path
checkpoints/meta-llama/Meta-Llama-3.1-8B/model.pth --print_model --tasks
wikitext winogrande --quantization mxfp8
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.609070006132819, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4615491037668933,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5474983002838458, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7292817679558011,
'acc_stderr,none': 0.012487904760626407}
// mxfp8 with rceil scaling
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.605445025927753, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4614188696390065,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5473697404554175, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7387529597474349,
'acc_stderr,none': 0.012346914863415201}
// nvfp4
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
8.44478255417328, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4903102070118779,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5756126578938119, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7182320441988951,
'acc_stderr,none': 0.012643326011853038}
// float8 rowwise (for comparison to existing technique)
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.618818730886612, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4618990946965715,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5478437349532752, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7371744277821626,
'acc_stderr,none': 0.01237092252726192}
```
Test Plan:
Reviewers:
Subscribers:
Tasks:
Tags:
ghstack-source-id: a815634
ghstack-comment-id: 3581080988
Pull-Request: #3394
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3394
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit b4cf67b with merge base 16aad7c ( BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
vkuzo
added a commit
that referenced
this pull request
Dec 1, 2025
Summary:
Adds mxfp8 and nvfp4 to llama eval scripts.
Results:
```
// bf16 baseline
with-proxy time python torchao/_models/llama/eval.py --checkpoint_path
checkpoints/meta-llama/Meta-Llama-3.1-8B/model.pth --print_model --tasks
wikitext winogrande
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.5472105433748435, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.459319739134015,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5452960145272896, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7426992896606156,
'acc_stderr,none': 0.012285989618865697}
// mxfp8 with floor scaling, turned off compile as it seemed stuck in coordinate descent
tuning
with-proxy time python torchao/_models/llama/eval.py --checkpoint_path
checkpoints/meta-llama/Meta-Llama-3.1-8B/model.pth --print_model --tasks
wikitext winogrande --quantization mxfp8
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.609070006132819, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4615491037668933,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5474983002838458, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7292817679558011,
'acc_stderr,none': 0.012487904760626407}
// mxfp8 with rceil scaling
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.605445025927753, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4614188696390065,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5473697404554175, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7387529597474349,
'acc_stderr,none': 0.012346914863415201}
// nvfp4
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
8.44478255417328, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4903102070118779,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5756126578938119, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7182320441988951,
'acc_stderr,none': 0.012643326011853038}
// float8 rowwise (for comparison to existing technique)
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.618818730886612, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4618990946965715,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5478437349532752, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7371744277821626,
'acc_stderr,none': 0.01237092252726192}
```
Test Plan:
Reviewers:
Subscribers:
Tasks:
Tags:
ghstack-source-id: a656363
ghstack-comment-id: 3581080988
Pull-Request: #3394
vkuzo
added a commit
that referenced
this pull request
Dec 3, 2025
Summary:
Adds mxfp8 and nvfp4 to llama eval scripts.
Results:
```
// bf16 baseline
with-proxy time python torchao/_models/llama/eval.py --checkpoint_path
checkpoints/meta-llama/Meta-Llama-3.1-8B/model.pth --print_model --tasks
wikitext winogrande
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.5472105433748435, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.459319739134015,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5452960145272896, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7426992896606156,
'acc_stderr,none': 0.012285989618865697}
// mxfp8 with floor scaling, turned off compile as it seemed stuck in coordinate descent
tuning
with-proxy time python torchao/_models/llama/eval.py --checkpoint_path
checkpoints/meta-llama/Meta-Llama-3.1-8B/model.pth --print_model --tasks
wikitext winogrande --quantization mxfp8
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.609070006132819, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4615491037668933,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5474983002838458, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7292817679558011,
'acc_stderr,none': 0.012487904760626407}
// mxfp8 with rceil scaling
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.605445025927753, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4614188696390065,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5473697404554175, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7387529597474349,
'acc_stderr,none': 0.012346914863415201}
// nvfp4
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
8.44478255417328, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4903102070118779,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5756126578938119, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7182320441988951,
'acc_stderr,none': 0.012643326011853038}
// float8 rowwise (for comparison to existing technique)
wikitext: {'alias': 'wikitext', 'word_perplexity,none':
7.618818730886612, 'word_perplexity_stderr,none': 'N/A',
'byte_perplexity,none': 1.4618990946965715,
'byte_perplexity_stderr,none': 'N/A', 'bits_per_byte,none':
0.5478437349532752, 'bits_per_byte_stderr,none': 'N/A'}
winogrande: {'alias': 'winogrande', 'acc,none': 0.7371744277821626,
'acc_stderr,none': 0.01237092252726192}
```
Test Plan:
Reviewers:
Subscribers:
Tasks:
Tags:
ghstack-source-id: 3a2d8ef
ghstack-comment-id: 3581080988
Pull-Request: #3394
jainapurva
approved these changes
Dec 3, 2025
avizon-aws
pushed a commit
to avizon-aws/ao
that referenced
this pull request
Dec 5, 2025
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Summary:
Adds mxfp8 and nvfp4 to llama eval scripts.
Results:
Test Plan:
Reviewers:
Subscribers:
Tasks:
Tags: