LocalClaw/LLM/Granite 3.3 (2B Instruct)
Open-weight local LLM

Granite 3.3 (2B Instruct)

IBM ultra-efficient 2B. Best-in-class among small models for tool calling & structured output. Perfect for on-device RAG and agents. 128K context. Apache 2.0.

Laptop ready 4 GB RAM Q5_K_M Coding assistant
Run with LocalClaw Compare all models
Parameters
2B
Minimum RAM
4 GB
Model size
1.4 GB
Quantization
Q5_K_M

Can Granite 3.3 (2B Instruct) run locally?

Granite 3.3 (2B Instruct) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for granite-3.3-2b-instruct in LM Studio or another GGUF-compatible runtime.

ibm-granite/granite-3.3-2b-instruct-GGUF
chatlightedgespeedcode

Install path

01
Check RAM fitMinimum 4 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch granite-3.3-2b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • IBM ultra-efficient 2B. Best-in-class among small models for tool calling & structured output. Perfect for on-device RAG and agents. 128K context. Apache 2.0.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • light
  • edge
  • speed
  • code

Capability profile

speed
10
quality
6
coding
6
reasoning
5

Technical notes

Developer
granite
License
See model repository
Context window
Unknown tokens
Architecture
See model card

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Where to go next