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// IBM Granite · Text LLM

granite-4.2-30b: VRAM & local deployment

29.3B parameters. About 22.2 GB at 4-bit and 67.1 GB at BF16 with one 8K-token request.

released 2026-08-07licence: Commercial OKmemory figures are estimates

01Specs

PublisherIBM · ibm-granite
Family / seriesIBM Granite · granite-4.2
TypeText LLM (text-generation)
Parameters29.3B Source: counted from official safetensors weights
Context length128K tokens (131,072)max_position_embeddings in config.json
Architecture64 layers · GQA
Released weightsBF16 · 58.5 GBdownload
LicenceApache-2.0 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2026-08-07 (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.

PrecisionWeightsTotal @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)58.5 GB 67.1 GB73.5 GB99.3 GB H100 80GBMac 128GB
FP8 / INT8 / Q8_031.1 GB 36.9 GB43.3 GB69.1 GB 2 × RTX 5090 (64GB)Mac 64GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)17.8 GB 22.2 GB28.6 GB54.4 GB RTX 5090 32GBMac 64GB

KV cache per request: 8K 2.1 GB · 32K 8.6 GB · 128K 34.4 GB

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.

ollama run granite4.2:30b

Which inference engine to choose →

04Official repositories & quantised builds

8 official repo(s) from ibm-granite.

05Other IBM Granite models

All 67 →
ModelParams4-bit totalReleased
granite-4.2-3b · same series3.66B3.6 GB2026-08-07
granite-4.2-8b · same series8.79B7.7 GB2026-08-07
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-speech-5.0-470m-turboctc473M0.8 GB2026-08-04
granite-embedding-97m-multilingual-r297M0.6 GB2026-04-20
granite-embedding-311m-multilingual-r2312M0.7 GB2026-04-20

06Sources

Data checked 2026-09-04. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

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