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Llama-3.3-70B-Instruct-QTIP-3Bit
relaxml/Llama-3.3-70B-Instruct-QTIP-3Bit
Llama-3.3-70B-Instruct-QTIP-3Bit is a machine learning model from relaxml. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
All-time downloads
202
Public
Parameters
15B
29.9 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors29.9 GB · 100%
Parameter types
How the weights are stored.
I1612.8B · 86%
Base models
Model card
From the Hugging Face model README
BF16:
arc_challenge
{'alias': 'arc_challenge', 'acc,none': 0.5332764505119454, 'acc_stderr,none': 0.014578995859605814, 'acc_norm,none': 0.5324232081911263, 'acc_norm_stderr,none': 0.014580637569995418}
arc_easy
{'alias': 'arc_easy', 'acc,none': 0.7558922558922558, 'acc_stderr,none': 0.008814322157999389, 'acc_norm,none': 0.6435185185185185, 'acc_norm_stderr,none': 0.009828046544504433}
hellaswag
{'alias': 'hellaswag', 'acc,none': 0.5852419836685919, 'acc_stderr,none': 0.004916733258140271, 'acc_norm,none': 0.6487751443935471, 'acc_norm_stderr,none': 0.00476377498183474}
piqa
{'alias': 'piqa', 'acc,none': 0.8003264417845484, 'acc_stderr,none': 0.009326942154519176, 'acc_norm,none': 0.7899891186071817, 'acc_norm_stderr,none': 0.00950335330581858}
This model:
arc_challenge
{'alias': 'arc_challenge', 'acc,none': 0.5341296928327645, 'acc_stderr,none': 0.014577311315231102, 'acc_norm,none': 0.515358361774744, 'acc_norm_stderr,none': 0.014604496129394911}
arc_easy
{'alias': 'arc_easy', 'acc,none': 0.7470538720538721, 'acc_stderr,none': 0.008919862739165613, 'acc_norm,none': 0.6325757575757576, 'acc_norm_stderr,none': 0.009892552616211553}
hellaswag
{'alias': 'hellaswag', 'acc,none': 0.5776737701653057, 'acc_stderr,none': 0.004929204864315951, 'acc_norm,none': 0.6430989842660825, 'acc_norm_stderr,none': 0.004781061390873893}
piqa
{'alias': 'piqa', 'acc,none': 0.7986942328618063, 'acc_stderr,none': 0.00935543109899043, 'acc_norm,none': 0.8008705114254625, 'acc_norm_stderr,none': 0.009317391893706867}
- Type
- llama
- Created
- Dec 9, 2024
- Updated
- Dec 12, 2024