Text model · Granite
Granite 4.0 H Small requirements
Granite family · 32B params (Mixture-of-Experts, 9B active) · released Oct 2025 · 1.2M Ollama pulls. Minimum to run at Q4_K_M: Nvidia GeForce RTX 4090 (24GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 13.4 GB est |
| Q3_K_M | 15.6 GB est |
| Q4_K_M (default) | 18.23 GB |
| Q5_K_M | 22.8 GB est |
| Q6_K | 26.2 GB est |
| Q8_0 | 31.91 GB |
| FP16 | 64 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run granite4:small-h llama-cli -hf unsloth/granite-4.0-h-small-GGUF:Q4_K_M lms get unsloth/granite-4.0-h-small-GGUF Which devices can run Granite 4.0 H Small?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Granite 4.0 H Small need?
At Q4_K_M, Granite 4.0 H Small needs about 20.4 GB (weights ~18.23 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~34.1 GB.
Can Granite 4.0 H Small run on a laptop?
Granite 4.0 H Small is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.
Is Granite 4.0 H Small cheaper to run because it is a MoE model?
It is faster, not lighter. Granite 4.0 H Small activates only 9B of 32B params per token (so it runs quickly), but all experts must stay in memory, so it still needs memory for the full 32B.
Can I use Granite 4.0 H Small commercially?
Yes. Granite 4.0 H Small is licensed Apache-2.0, which permits commercial use.
IBM Granite 4.0 H Small, hybrid Mamba/transformer MoE (32B total, 9B active), 128K context. Q4_K_M and Q8_0 sizes from the unsloth GGUF repo, matched to the Ollama granite4:small-h tag.
Sources
Memory figures are estimates. See methodology.