chore(gallery): add GUI-Owl 1.5 2B variants

Add Q4_K_M and Q8_0 GGUF builds for screenshot interpretation and GUI
planning with llama.cpp. Include the F16 vision projector in both builds
and document installation and the separate action executor requirement.

Pin all downloads and verify SHA256 values against Hugging Face LFS
metadata and download headers.

Assisted-by: Codex:gpt-6

(cherry picked from commit c4273485d1, mudler/LocalAI#12541)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
localai-org-maint-bot authored and Ettore Di Giacinto committed 2026-10-13 07:25:05 +00:00
1 parent 29161bbc17
commit 0dcedf061f
1 file changed
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@@ -23203,6 +23203,94 @@
- filename: mmproj/mmproj-Qwen3-VL-2B-Thinking-F16.gguf
sha256: 4eabc90a52fe890d6ca1dad92548782eab6edc91f012a365fff95cf027ba529d
uri: huggingface://unsloth/Qwen3-VL-2B-Thinking-GGUF/mmproj-F16.gguf
- name: gui-owl-1.5-2b-instruct
url: github:mudler/LocalAI/gallery/virtual.yaml@master
variants:
- model: gui-owl-1.5-2b-instruct-q8
urls:
- https://huggingface.co/mPLUG/GUI-Owl-1.5-2B-Instruct
- https://huggingface.co/mradermacher/GUI-Owl-1.5-2B-Instruct-GGUF
description: |
GUI-Owl 1.5 is a Qwen3-VL-based model for interpreting screenshots and
planning GUI actions across desktop, mobile, and browser interfaces.
This 2B Instruct Q4_K_M GGUF build includes the F16 vision projector
and uses the embedded chat template with a 32K-token default context.
A separate agent must execute the predicted actions.
license: mit
tags:
- llm
- gguf
- cpu
- gpu
- vision
- multimodal
last_checked: "2026-10-07"
overrides:
backend: llama-cpp
context_size: 32768
function:
grammar:
disable: true
known_usecases:
- chat
- vision
mmproj: GUI-Owl-1.5-2B-Instruct.mmproj-f16.gguf
options:
- use_jinja:true
parameters:
model: GUI-Owl-1.5-2B-Instruct.Q4_K_M.gguf
template:
use_tokenizer_template: true
files:
- filename: GUI-Owl-1.5-2B-Instruct.Q4_K_M.gguf
uri: https://huggingface.co/mradermacher/GUI-Owl-1.5-2B-Instruct-GGUF/resolve/a0592aa615540e507a918bc6281fdbfc1b441361/GUI-Owl-1.5-2B-Instruct.Q4_K_M.gguf
sha256: 5fd2c77781a14a91128928b5bd313252aab076b44682396af4bb2c99667f5ef5
- filename: GUI-Owl-1.5-2B-Instruct.mmproj-f16.gguf
uri: https://huggingface.co/mradermacher/GUI-Owl-1.5-2B-Instruct-GGUF/resolve/a0592aa615540e507a918bc6281fdbfc1b441361/GUI-Owl-1.5-2B-Instruct.mmproj-f16.gguf
sha256: e3e3816edb92e62a51f8754b21f1369d8c0224f5488a878a4ef8284903bcf64a
- name: gui-owl-1.5-2b-instruct-q8
url: github:mudler/LocalAI/gallery/virtual.yaml@master
urls:
- https://huggingface.co/mPLUG/GUI-Owl-1.5-2B-Instruct
- https://huggingface.co/mradermacher/GUI-Owl-1.5-2B-Instruct-GGUF
description: |
GUI-Owl 1.5 is a Qwen3-VL-based model for interpreting screenshots and
planning GUI actions across desktop, mobile, and browser interfaces.
This 2B Instruct Q8_0 GGUF build includes the F16 vision projector
and uses the embedded chat template with a 32K-token default context.
A separate agent must execute the predicted actions.
license: mit
tags:
- llm
- gguf
- cpu
- gpu
- vision
- multimodal
last_checked: "2026-10-07"
overrides:
backend: llama-cpp
context_size: 32768
function:
grammar:
disable: true
known_usecases:
- chat
- vision
mmproj: GUI-Owl-1.5-2B-Instruct.mmproj-f16.gguf
options:
- use_jinja:true
parameters:
model: GUI-Owl-1.5-2B-Instruct.Q8_0.gguf
template:
use_tokenizer_template: true
files:
- filename: GUI-Owl-1.5-2B-Instruct.Q8_0.gguf
uri: https://huggingface.co/mradermacher/GUI-Owl-1.5-2B-Instruct-GGUF/resolve/a0592aa615540e507a918bc6281fdbfc1b441361/GUI-Owl-1.5-2B-Instruct.Q8_0.gguf
sha256: ed0901d94648da2e317dd577e3005914b8a721cb194dac1258557b214c19f5a4
- filename: GUI-Owl-1.5-2B-Instruct.mmproj-f16.gguf
uri: https://huggingface.co/mradermacher/GUI-Owl-1.5-2B-Instruct-GGUF/resolve/a0592aa615540e507a918bc6281fdbfc1b441361/GUI-Owl-1.5-2B-Instruct.mmproj-f16.gguf
sha256: e3e3816edb92e62a51f8754b21f1369d8c0224f5488a878a4ef8284903bcf64a
- name: qwen3-vl-2b-instruct
url: github:mudler/LocalAI/gallery/qwen3.yaml@master
urls: