IBM/Mixture of Experts

IBMGranite 4.0 Small

Granite 4.0 Small — strong enterprise MoE model with multilingual support.

chatcodingmultilingualThinkingTool Use
32B
Parameters (8B active)
125K
Context length
6
Benchmarks
14
Quantizations
40K
HF downloads
Architecture
MoE
Released
2025-10-02
Layers
40
KV Heads
8
Head Dim
128
Family
granite

Quantization Options

QuantBitsVRAMQuality
IQ3_XXS3.2513.5 GBlow
IQ3_XS3.514.5 GBlow
Q3_K_S3.6415.0 GBlow
IQ3_M3.7615.5 GBlow
Q3_K_M416.5 GBlow
Q3_K_L4.317.7 GBmoderate
IQ4_XS4.4618.3 GBmoderate
Q4_K_S4.6719.2 GBmoderate
Q4_K_M4.8920.0 GBgood
Q5_K_S5.5722.8 GBgood
Q5_K_M5.723.3 GBgood
Q6_K6.5626.7 GBexcellent
Q8_08.534.5 GBlossless
FP161664.5 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN GRANITE 4.0 SMALL NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (6)

HumanEval88.0
IFEval87.6
MBPP84.0
BBH81.6
BigCodeBench46.2
GPQA40.6

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run granite:32b-q4_K_M

Tag may need adjustment — check ollama.com/library/granite for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 4090
24 GB VRAM • 1008 GB/s
NVIDIA
$1599
NVIDIA RTX 3090 Ti
24 GB VRAM • 1008 GB/s
NVIDIA
$999
NVIDIA RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$850
AMD RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
NVIDIA A10 24GB
24 GB VRAM • 600 GB/s
NVIDIA
$3500
Apple M2 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M3 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M4 (24GB)
24 GB VRAM • 120 GB/s
APPLE
$699
NVIDIA Tesla M40 24 GB
24 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P10
24 GB VRAM • 694 GB/s
NVIDIA
NVIDIA Tesla P40
24 GB VRAM • 347 GB/s
NVIDIA
NVIDIA Quadro RTX 6000
24 GB VRAM • 672 GB/s
NVIDIA
$4000
NVIDIA GeForce RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$1499
NVIDIA A10 PCIe
24 GB VRAM • 600 GB/s
NVIDIA
NVIDIA A10G
24 GB VRAM • 600 GB/s
NVIDIA
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA GeForce RTX 4090
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000
NVIDIA L40G
24 GB VRAM • 864 GB/s
NVIDIA
$5000
NVIDIA A30 PCIe
24 GB VRAM • 933 GB/s
NVIDIA
NVIDIA A30X
24 GB VRAM • 1220 GB/s
NVIDIA

Find the best GPU for Granite 4.0 Small

Build Hardware for Granite 4.0 Small

Granite 4.0 Small — strong enterprise MoE model with multilingual support.

▸ SPEC SHEET

Granite 4.0 Small32B MoE.

▸ SPECIFICATIONS
PARAMETERS
32B (8B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
125K tokens
CAPABILITIES
chat, coding, multilingual
RELEASE DATE
2025-10-02
PROVIDER
IBM
FAMILY
granite
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2513.5 GB82%
IQ3_XS3.514.5 GB84%
Q3_K_S3.6415.0 GB85%
IQ3_M3.7615.5 GB86%
Q3_K_M416.5 GB88%
Q3_K_L4.317.7 GB90%
IQ4_XS4.4618.3 GB92%
Q4_K_S4.6719.2 GB93%
Q4_K_M4.8920.0 GB94%
Q5_K_S5.5722.8 GB96%
Q5_K_M5.723.3 GB96%
Q6_K6.5626.7 GB97%
Q8_08.534.5 GB100%
FP161664.5 GB100%
§ 01BENCHMARK SCORES
HumanEval88.0
IFEval87.6
BBH81.6
GPQA40.6
MBPP84.0
BigCodeBench46.2