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ApyHTML19/Granite-Vision-3.3-2B-Q_M_GGUF-F16 overview

Granite Vision 3.3 2B Q M GGUF F16 GGUF export of Granite Vision 3.3 2B for local multimodal inference with llama.cpp . This repository provides a quantized GG…

ggufgranitegranite-visionmultimodalvision-language-modelllama.cpplocal-inferencequantizedimage-text-to-textenbase_model:ibm-granite/granite-vision-3.3-2bbase_model:quantized:ibm-granite/granite-vision-3.3-2blicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~851.2 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

2 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Granite-Vision-3.3-2b-GGUF/granite-vision-3.3-2b-Q5_K_M.ggufGGUFQ5_K_M1.68 GBDownload
Granite-Vision-3.3-2b-GGUF/mmproj-model-f16.ggufGGUFF16851.2 MBDownload

Model Details

Model IDApyHTML19/Granite-Vision-3.3-2B-Q_M_GGUF-F16
AuthorApyHTML19
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelibm-granite/granite-vision-3.3-2b
Last modified2026-07-06T00:19:01.000Z

Model README

---

license: apache-2.0

language:

- en

pipeline_tag: image-text-to-text

library_name: gguf

tags:

- granite

- granite-vision

- multimodal

- vision-language-model

- gguf

- llama.cpp

- local-inference

- quantized

base_model:

- ibm-granite/granite-vision-3.3-2b

---

Granite-Vision-3.3-2B-Q_M_GGUF-F16

GGUF export of Granite Vision 3.3 2B for local multimodal inference with llama.cpp.

This repository provides a quantized GGUF version of Granite Vision together with the multimodal projector required for image understanding.

Files

This repository contains the following files:

  • granite-vision-3.3-2b-Q5_K_M.gguf — main quantized Granite Vision model
  • mmproj-model-f16.gguf — multimodal projector file required for image input support

Description

Granite Vision 3.3 2B is a vision-language model (VLM) that can process:

  • text prompts
  • image + text prompts
  • image description / captioning
  • basic visual question answering (VQA)
  • OCR-like reasoning depending on the image and prompt quality

This GGUF version is intended to be used locally with llama.cpp and llama-server.

Requirements

  • Windows / Linux / macOS
  • a recent llama.cpp build with multimodal support
  • llama-server or llama-cli
  • the two files in this repository:

- granite-vision-3.3-2b-Q5_K_M.gguf

- mmproj-model-f16.gguf

Example with llama-server

Example command:

llama-server \
  -m granite-vision-3.3-2b-Q5_K_M.gguf \
  --mmproj mmproj-model-f16.gguf \
  --host 127.0.0.1 \
  --port 8080 \
  --threads 12 \
  -c 4096

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