update
May 5, 2026
By Teun
IBM releases Granite 4.1 models under Apache 2.0 license
IBM has released its Granite 4.1 family of large language models, with 3B, 8B, and 30B versions under the Apache 2.0 license. Unsloth also published 21 GGUF quantized variants of the 3B model, which were used in a small SVG-generation test.
IBM released its Granite 4.1 family of large language models a few days ago, according to a 4 May 2026 blog post. The models are available in 3B, 8B, and 30B sizes, and IBM is distributing them under the Apache 2.0 license.
The blog post points readers to a technical write-up by Granite team member Yousaf Shah, titled “Granite 4.1 LLMs: How They’re Built,” which describes the training process in detail. That matters for people following open model releases, because training methodology often shapes how a model behaves, how it can be used, and what kinds of workloads it is suited for.
⚡ New to this?
This is news because IBM has released a new family of large language models that people can use under the Apache 2.0 license, which is a permissive open-source license. The 3B, 8B, and 30B labels refer to model sizes measured in billions of parameters, which usually affects how much memory the model needs and how capable it is.
The article also mentions GGUF and quantization. GGUF is a file format often used for running models locally, and quantization is a way to shrink them so they fit on smaller hardware.
🦞 OpenClaw angle
If you run self-hosted agents, treat Granite 4.1 as a candidate for local inference testing, especially the 3B GGUF variants if you care about memory use. Compare a few quantization levels on your own prompts before standardizing, because the post shows output quality may not track neatly with file size.
If you ship workflows that depend on structured outputs, test the model on your actual tasks rather than toy prompts like image-like SVG generation. Also, check the Apache 2.0 terms before folding the models into internal tools or redistributing them in a packaged agent stack.
Soon after the release, Unsloth published the unsloth/granite-4.1-3b-GGUF collection. These are GGUF-encoded, quantized variants of the 3B model, packaged into 21 separate model files.
According to the post, the files range in size from 1.2GB to 6.34GB, and together total 51.3GB. GGUF is a file format commonly used to store quantized models for local use, and quantization reduces model size by lowering numerical precision so the model can run in less memory.
The author used those 21 variants for a simple experiment: prompting each model to “Generate an SVG of a pelican riding a bicycle.” The goal was to compare the outputs from different quantization sizes of the same model.
The result was not especially dramatic. The author says there was no clear pattern connecting file size to output quality, and that the outputs were “pretty terrible” across the board.
The post frames the test as a small curiosity rather than a benchmark. It also suggests the experiment may be repeated later with a model that is better at drawing pelicans.
For teams that track open-weight models, the relevant news is the release itself: IBM has put Granite 4.1 out in three sizes under a permissive license, and the model family is already being packaged into local-use quantized variants by third parties like Unsloth.
