FitMyLLM
IBM/Dense

IBMgranite-4.0-h-micro 3.2B

📣 Update [10-07-2025]: Added a default system prompt to the chat template to guide the model towards more professional, accurate, and safe responses.

chat
3.2B
Parameters
128K
Context length
6
Benchmarks
6
Quantizations
18K
HF downloads
Architecture
Dense
Released
2025-09-16
Layers
40
KV Heads
8
Head Dim
64
Family
granite

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
3.4 GB
2.4 + 0.9 KV
good
Q5_K_S5.57
3.7 GB
2.7 + 0.9 KV
good
Q5_K_M5.7
3.7 GB
2.8 + 0.9 KV
good
Q6_K6.56
4.0 GB
3.1 + 0.9 KV
excellent
Q8_08.5
4.8 GB
3.9 + 0.9 KV
lossless
FP1616
7.8 GB
6.9 + 0.9 KV
lossless

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

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN GRANITE-4.0-H-MICRO 3.2B NOW

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

Community Ratings

Loading ratings...

Benchmarks (6)

IFEval51.4
BBH21.7
MMLU-PRO20.2
MATH9.2
GPQA6.6
MUSR1.3

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run granite4:3b

Tag may need adjustment — check ollama.com/library/granite4 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 Tesla C2050
3 GB VRAM • 144 GB/s
NVIDIA
NVIDIA Tesla M2050
3 GB VRAM • 148 GB/s
NVIDIA
NVIDIA Tesla S2050
3 GB VRAM • 148 GB/s
NVIDIA

Find the best GPU for granite-4.0-h-micro 3.2B

Build Hardware for granite-4.0-h-micro 3.2B
▸ SPEC SHEET

granite-4.0-h-micro 3.2B3.2B Dense.

▸ SPECIFICATIONS
PARAMETERS
3.2B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat
RELEASE DATE
2025-09-16
PROVIDER
IBM
FAMILY
granite
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.892.4 GB94%
Q5_K_S5.572.7 GB96%
Q5_K_M5.72.8 GB96%
Q6_K6.563.1 GB97%
Q8_08.53.9 GB100%
FP16166.9 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO20.2
MATH9.2
IFEval51.4
BBH21.7
GPQA6.6
MUSR1.3
§ 02RUN COMMAND

Run granite-4.0-h-micro 3.2B locally with Ollama — needs 2.4 GB VRAM at Q4_K_M:

$ollama run granite4:3b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M