granite-4.1-3b
ibm-graniteapache-2.0text

granite-4.1-3b

Updated Oct 31, 2026
Parameters
3.4B
Context
131,072
License
apache-2.0
Q4 GGUF
2.1 GB
Updated
Oct 31, 2026

Q4 GGUF download: ibm-granite/granite-4.1-3b-GGUF - 2.1 GB on disk, read 2026-09-27. VRAM figures above are estimates; this is the actual file size.

Standard benchmarks

Performance across standard evaluations

BenchmarkScore
GPQA Diamond31.4

Source: Artificial Analysis component evals - updated 2026-10-31.

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at FP16
4 of 4 quantizations fit granite-4.1-3b with real runtime overhead.
Q4_K_M
2 GB
Q5_K_M
2 GB
Q8_0
4 GB
FP16
7 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve ibm-granite/granite-4.1-3b

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

granite-4.1-3b is a 3.4B-parameter apache-2.0 model from ibm-granite. At Q4_K_M it needs roughly 2 GB of VRAM, placing it in the CPU / ≤4 GB hardware tier.

Popularity

granite-4.1-3b has 246,234 downloads in the last month on HuggingFace and 75 likes.

Frequently asked

Quick answers to common questions

How much VRAM does granite-4.1-3b need?

granite-4.1-3b with 3.4B parameters needs approximately 2 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is granite-4.1-3b better than other ibm-granite models?

granite-4.1-3b has 3.4B parameters with 131,072 context - a strong choice for general use.

What license is granite-4.1-3b under?

granite-4.1-3b is released under the apache-2.0 license, making it suitable for most commercial and personal projects.

What hardware runs granite-4.1-3b well?

With 3.4B parameters, granite-4.1-3b requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for granite-4.1-3b?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~2 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can granite-4.1-3b's context window handle?

granite-4.1-3b supports a 131,072-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with granite-4.1-3b?

granite-4.1-3b competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec