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MiniMax-M2.1-REAP-40-W4A16
1anH/MiniMax-M2.1-REAP-40-W4A16
MiniMax-M2.1-REAP-40-W4A16 is a machine learning model from 1anH. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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1.5K
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1.3B
74.2 GB on disk
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4
Public
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.safetensors74.2 GB · 100%
Parameter types
How the weights are stored.
I3217.4B · 88%
Base models
Model card
From the Hugging Face model README
Reproduction
from auto_round import AutoRound
from auto_round.logger import logger as ar_logger
ar = AutoRound(
'./MiniMax-M2.1-REAP-40',
device='cuda',
device_map='auto',
nsamples=128,
seqlen=2048,
batch_size=8,
enable_torch_compile=False
)
ar.quantize_and_save('./MiniMax-M2.1-REAP-40-W4A16', format='auto_round')
Acknowledgments
- REAP conversion by 0xSero
- REAP implementation by Cerebras
- Base model by MiniMax
- Type
- minimax_m2
- License
- mit
- Created
- Jan 18, 2026
- Updated
- Jan 18, 2026