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// IBM Granite · Embedding

granite-speech-4.1-2b-nar: VRAM & local deployment

2.25B parameters. About 2.0 GB at 4-bit and 5.5 GB at BF16.

released 2026-03-10licence: Commercial OKmemory figures are estimates

01Specs

PublisherIBM · ibm-granite
Family / seriesIBM Granite · granite-speech-4.1-nar
TypeEmbedding (feature-extraction)
Parameters2.25B Source: counted from official safetensors weights
Released weightsBF16 · 4.5 GBdownload
LicenceApache-2.0 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2026-03-10 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Embedding models are small; memory grows with batch size and sequence length.

PrecisionWeightsWeights + overheadSmallest GPUMac
BF16 / FP16 (original)4.5 GB 5.5 GB 8GB GPUMac 16GB
FP8 / INT8 / Q8_02.4 GB 3.1 GB 8GB GPUMac 16GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)1.4 GB 2.0 GB 8GB GPUMac 16GB

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.

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
ensemble-forecasting-with-ibm-granite-time-series——2026-10-01
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

06Sources

Data checked 2026-06-18. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

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