← Model index
time-series-forecasting
autogluon/chronos-bolt-small
autogluon/chronos-bolt-small is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
What to verify before deployment
- Confirm the exact weight format and quantization.
- Measure memory at your intended context or image size.
- Review model-card limitations and evaluation methodology.
- Test latency and throughput on your target runtime.
Likely commercial-friendly
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →SIMILAR OPTIONS
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time-series-forecasting
amazon/chronos-2
amazon/chronos-2 is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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Unknown8 GB+ VRAMapache-2.0
Deployment details →
time-series-forecasting
autogluon/chronos-2
autogluon/chronos-2 is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 8,879,175♡ 49
Unknown8 GB+ VRAMapache-2.0
Deployment details →
time-series-forecasting
amazon/chronos-bolt-small
amazon/chronos-bolt-small is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 8,650,989♡ 23
Unknown8 GB+ VRAMapache-2.0
Deployment details →
time-series-forecasting
autogluon/chronos-bolt-small
autogluon/chronos-bolt-small is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 6,145,869♡ 61
Unknown8 GB+ VRAMapache-2.0
Deployment details →
time-series-forecasting
autogluon/chronos-2-small
autogluon/chronos-2-small is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 5,957,775♡ 6
Unknown8 GB+ VRAMapache-2.0
Deployment details →
time-series-forecasting
NeoQuasar/Kronos-Tokenizer-base
NeoQuasar/Kronos-Tokenizer-base is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,561,614♡ 70
Unknown8 GB+ VRAMmit
Deployment details →
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