IBM
Granite 4.1 30B (30B parameters) requires approximately 24.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 28 GB of VRAM.
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ollama run granite4.1:30bQuick specs
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No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | — |
Q3_K_S | 3 | 14.7 GB | Low | — |
NVFP4 | 4 | 16.8 GB | Medium | — |
Q4_K_M | 4 | 18.3 GB | Medium | — |
Q5_K_M | 5 | 21.6 GB | High | — |
Q6_K | 6 | 24.6 GB | High | — |
Q8_0 | 8 | 32.1 GB | Very High | — |
F16 | 16 | 61.5 GB | Maximum | — |
Hardware compatibility
Computing compatibility...
Memory breakdown
Frequently asked questions
Granite 4.1 30B (30B parameters) requires approximately 24.0 GB of VRAM with Q4_K_M quantization. Lower quantizations like Q4_K_M use less memory but may reduce quality.
Yes, Mac mini M4 64GB can run Granite 4.1 30B with a compatibility score of 81/100. It provides 64 GB of memory and achieves approximately 9.1 tokens per second.
The recommended quantization for Granite 4.1 30B is Q4_K_M, which offers the best balance between model quality and memory efficiency. Higher quantizations preserve more quality but require more VRAM.
The top recommended hardware for Granite 4.1 30B: NVIDIA A100 40GB (score: 88/100), MacBook Pro M4 Max 48GB (score: 86/100), RTX PRO 5000 Blackwell 48GB (score: 86/100). These provide the best combination of memory, bandwidth, and compute for running this model locally.
Yes, Granite 4.1 30B is well-suited for chat as well as rag, coding, reasoning. It was designed with these use cases in mind.
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