FitMyLLM
IBM/Dense

IBMGranite Switch 4.1 30B Preview

Model Summary: Granite Switch 4.1 30B Preview is a modular LLM built on IBM Granite 4.1 30B with embedded adapters from the Granite Libraries collection.

chatcodingreasoningtool_usemultilingual
32.24B
Parameters
128K
Context length
1
Benchmarks
14
Quantizations
0
Architecture
Dense
Released
2026-04-29
Layers
65
KV Heads
8
Head Dim
128
Family
granite

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
IQ3_XXS3.25
16.6 GB
13.6 + 3.0 KV
low
IQ3_XS3.5
17.6 GB
14.6 + 3.0 KV
low
Q3_K_S3.64
18.2 GB
15.2 + 3.0 KV
low
IQ3_M3.76
18.7 GB
15.6 + 3.0 KV
low
Q3_K_M4
19.7 GB
16.6 + 3.0 KV
low
Q3_K_L4.3
20.9 GB
17.8 + 3.0 KV
moderate
IQ4_XS4.46
21.5 GB
18.5 + 3.0 KV
moderate
Q4_K_S4.67
22.4 GB
19.3 + 3.0 KV
moderate
Q4_K_M4.89
23.2 GB
20.2 + 3.0 KV
good
Q5_K_S5.57
26.0 GB
22.9 + 3.0 KV
good
Q5_K_M5.7
26.5 GB
23.5 + 3.0 KV
good
Q6_K6.56
30.0 GB
26.9 + 3.0 KV
excellent
Q8_08.5
37.8 GB
34.7 + 3.0 KV
lossless
FP1616
68.0 GB
65.0 + 3.0 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 SWITCH 4.1 30B PREVIEW NOW

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

Community Ratings

Loading ratings...

Benchmarks (1)

BigCodeBench36.1

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.

Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
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 RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000
NVIDIA L40G
24 GB VRAM • 864 GB/s
NVIDIA
$5000

Find the best GPU for Granite Switch 4.1 30B Preview

Build Hardware for Granite Switch 4.1 30B Preview
▸ SPEC SHEET

Granite Switch 4.1 30B Preview — 32.24B Dense.

▸ SPECIFICATIONS
PARAMETERS
32.24B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, coding, reasoning, tool_use, multilingual
RELEASE DATE
2026-04-29
PROVIDER
IBM
FAMILY
granite
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2513.6 GB82%
IQ3_XS3.514.6 GB84%
Q3_K_S3.6415.2 GB85%
IQ3_M3.7615.6 GB86%
Q3_K_M416.6 GB88%
Q3_K_L4.317.8 GB90%
IQ4_XS4.4618.5 GB92%
Q4_K_S4.6719.3 GB93%
Q4_K_M4.8920.2 GB94%
Q5_K_S5.5722.9 GB96%
Q5_K_M5.723.5 GB96%
Q6_K6.5626.9 GB97%
Q8_08.534.7 GB100%
FP161665.0 GB100%
§ 01BENCHMARK SCORES
BigCodeBench36.1
§ 03COMPATIBLE GPUs
30 @ Q4_K_M