How much memory do I need for Granite 4.0 Micro?

Granite 4.0 Micro starts around 2.5 GB of usable memory and feels safer around 4.0 GB when you want context headroom.

What is the easiest runtime for Granite 4.0 Micro?

Ollama is the cleanest first stop for Granite 4.0 Micro here because the path is already tracked and linked on this page.

Should I benchmark before downloading Granite 4.0 Micro?

Yes. The benchmark is the fastest way to tell whether your current machine lines up with the model's memory and runtime expectations before you spend time pulling files.

can i run it

Can I run Granite 4.0 Micro locally?

IBM's smallest Granite 4.0 instruct release is a pragmatic US-origin starter for local chat, extraction, and agent scaffolding. This page answers the practical parts of the question: what class of computer is enough, which runtime gives the lowest-friction first run, and which nearby models may fit better.

minimum tier3B

minimum memory2.5 GB

comfortable memory4.0 GB

runtime coverageOllama, LM Studio, and llama.cpp paths tracked

why this model

Granite 4.0 Micro is worth checking when you want starter assistants and tool use.

This shortlist stays inside verified American model releases. Granite 4.0 Micro gets the nod because its local memory target lands lower than OLMo 3 Instruct 7B; it is the lightest verified American starter in the catalog. Verified 2026-03-12 · review by 2026-04-11.

Benchmark this device Compare known machines

hardware fit

What kind of computer should handle Granite 4.0 Micro?

These reference hardware classes show the minimum benchmark band where this model starts to make sense.

reference band

Legacy handheld

3B class • 1 GB reference memory

Runs only the smallest compatibility-grade local AI tasks and may need cloud help for most real work.

reference band

Budget mobile SoC

3B class • 6 GB reference memory

Usable for tiny on-device chat, but sustained local LLM work is constrained.

reference band

Premium tablet

7B class • 8 GB reference memory

Comfortable for lightweight, quantized assistant workloads with tight thermal limits.

runtime paths

Where should you start?

OllamaVerified

Native Ollama package for Granite 4.0 Micro.

Download path. granite4:micro

ollama run granite4:micro

Read Ollama guide Open runtime evidence

LM StudioCommunity path

Verified GGUF path that LM Studio can pull directly from Hugging Face.

Download path. lmstudio-community/granite-4.0-micro-GGUF

lms get https://huggingface.co/lmstudio-community/granite-4.0-micro-GGUF

Read LM Studio guide Open runtime evidence

llama.cppCommunity path

Community GGUF packaging verified for llama.cpp-style local serving.

Download path. lmstudio-community/granite-4.0-micro-GGUF

llama-server -hf lmstudio-community/granite-4.0-micro-GGUF -c 131072 --port 8080

Read llama.cpp guide Open runtime evidence

Nearby models and runtimes

P1Static

Model page

Can I run OLMo 3 Instruct 7B locally?

Search intent: olmo 3 instruct 7b can i run it

7B class start • 5.0 GB minimum

Ai2

Open page

P1Static

Model page

Can I run Llama 3.1 8B locally?

Search intent: llama 3.1 8b can i run it

7B class start • 6.5 GB minimum

Can I run Phi-4-reasoning locally?

Search intent: phi-4-reasoning can i run it

13B class start • 8.5 GB minimum

Microsoft

Open page

P0Static

Runtime page

Best local models for Ollama

Search intent: ollama best model

Best for the quickest path from benchmark result to a real local run.

Runtime guide + catalog coverage

Open page

P1Static

Runtime page

Best local models for llama.cpp

Search intent: llama.cpp best model

Best for people who care about low-level control, serving flags, and GGUF tuning.

Runtime guide + catalog coverage

Open page

P1Static

Runtime page

Best local models for LM Studio

Search intent: lm studio best model

Best for people who want a graphical model browser and easy GGUF pulls.

Runtime guide + catalog coverage

Open page

evidence sources

Evidence sources

Model provenance review: Verified 2026-03-12 · review by 2026-04-11 for Granite 4.0 Micro and the surrounding reviewed catalog. Open page
Benchmark methodology: How the benchmark confirms whether Granite 4.0 Micro fits a real machine before download time. Open page
Ollama tracked path: Native Ollama package for Granite 4.0 Micro. Open source
LM Studio tracked path: Verified GGUF path that LM Studio can pull directly from Hugging Face. Open source
llama.cpp tracked path: Community GGUF packaging verified for llama.cpp-style local serving. Open source