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// IBM Granite · Text LLM

ensemble-forecasting-with-ibm-granite-time-series: VRAM & local deployment

Text LLM model published by IBM.

released 2026-10-01licence: Licence not statedmemory figures are estimates

01Specs

PublisherIBM · ibm-granite
Family / seriesIBM Granite · ensemble-forecasting-with-ibm-granite-time-series
TypeText LLM
Parametersnot stated in official metadata
Context length—
Licence— · Licence not statedThe model card metadata does not state a licence; check the repository files.
Released2026-10-01 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

No estimate: the official metadata does not give a parameter count. Check the model card for tested hardware.

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

The official card does not name a runtime; see the repository.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from ibm-granite.

05Other IBM Granite models

All 67 →
ModelParams4-bit totalReleased
granite-switch-4.1-8b8.78B7.8 GB2026-10-14
granite-switch-4.1-30b30B22.7 GB2026-10-14
granite-speech-5.0-2b2.31B2.0 GB2026-10-07
granite-speech-5.0-470m-turboctc-nc473M0.8 GB2026-08-17
granite-4.2-3b3.66B3.6 GB2026-08-07
granite-4.2-8b8.79B7.7 GB2026-08-07
granite-4.2-30b29.3B22.2 GB2026-08-07
granite-speech-5.0-470m-turboctc473M0.8 GB2026-08-04

06Sources

Data checked 2026-10-01. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)