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time-series-forecasting
Datadog/Toto-2.0-1B
Datadog/Toto-2.0-1B is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 6 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
More time-series-forecasting models
time-series-forecasting
Datadog/Toto-2.0-1B
Datadog/Toto-2.0-1B is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
↓ 9,008♡ 19
1.0B6 GB+ VRAMapache-2.0
Deployment details →
time-series-forecasting
iravikr/trichronos-0.1B
iravikr/trichronos-0.1B is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 22♡ 1
100M4 GB+ VRAMapache-2.0
Deployment details →
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