chore(gallery): add Kayak Qwen3-VL-4B variants

Add Q4_K_M and Q8_0 builds with the matching vision projector for
single-step screenshot grounding on Kayak interfaces.

Assisted-by: Codex:gpt-6-astra
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localai-org-maint-bot committed 2026-10-06 08:06:05 +00:00
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@@ -39,6 +39,28 @@ Both views use the same model selection and store the view, search, filter, and
selection in the URL. Installing from Explore does not move you away from the
catalog; the entry updates in place when the operation finishes.
## RuntimeLabs Kayak screenshot grounding
[RuntimeLabs Kayak](https://huggingface.co/ayushadarsh7/RuntimeLabs-Kayak-Qwen3-VL-4B)
is a Qwen3-VL-4B fine-tune for locating controls in Kayak flight-search screenshots.
The gallery offers Q4_K_M and Q8_0 GGUF variants for llama.cpp, each with the
matching F16 vision projector and an 8,192-token context.
Install the Q4_K_M build explicitly:
```bash
local-ai models install runtimelabs-kayak-qwen3-vl-4b-q4 --variant runtimelabs-kayak-qwen3-vl-4b-q4
```
Send a screenshot and one instruction through `/v1/chat/completions`. Use the
prompt format in the publisher's [inference script](https://huggingface.co/ayushadarsh7/RuntimeLabs-Kayak-Qwen3-VL-4B/blob/main/infer.py),
with `temperature: 0` and `max_tokens: 128`. Fill instructions can include the
text to enter. The response contains an action and, when applicable, a bounding
box in `[x, y, width, height]` format on a 0–1000 scale; x and y identify its
top-left corner. The model predicts coordinates; your application executes the
action. Its training covers Kayak interfaces, so performance on other sites or
changed layouts is unverified.
## Cyber-Ornith 1.5 9B
Cyber-Ornith 1.5 is a Qwen3.5 fine-tune for security auditing, terminal tasks, and tool use.
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- filename: mmproj/mmproj-F16.gguf
sha256: 7c5d39a9dc4645fc49a39a1c5a96157825af4d1c6e0961bed5d667a65b4b9572
uri: huggingface://unsloth/Qwen3-VL-30B-A3B-Thinking-GGUF/mmproj-F16.gguf
- name: runtimelabs-kayak-qwen3-vl-4b-q4
url: github:mudler/LocalAI/gallery/virtual.yaml@master
urls:
- https://huggingface.co/ayushadarsh7/RuntimeLabs-Kayak-Qwen3-VL-4B
- https://huggingface.co/mradermacher/RuntimeLabs-Kayak-Qwen3-VL-4B-GGUF
license: apache-2.0
description: |
RuntimeLabs Kayak is a 4B Qwen3-VL fine-tune for screenshot grounding on Kayak flight-search interfaces.
It predicts a single action and a normalized bounding box from an image and instruction.
This Q4_K_M GGUF build includes the F16 vision projector and uses an 8,192-token context with llama.cpp.
tags:
- llm
- gguf
- cpu
- gpu
- qwen3-vl
- multimodal
- vision
- screenshot-grounding
variants:
- model: runtimelabs-kayak-qwen3-vl-4b-q8
overrides:
backend: llama-cpp
context_size: 8192
known_usecases:
- chat
known_input_modalities:
- text
- image
mmproj: mmproj/RuntimeLabs-Kayak-Qwen3-VL-4B.mmproj-f16.gguf
options:
- use_jinja:true
template:
use_tokenizer_template: true
parameters:
model: RuntimeLabs-Kayak-Qwen3-VL-4B.Q4_K_M.gguf
temperature: 0
mmap: true
files:
- filename: RuntimeLabs-Kayak-Qwen3-VL-4B.Q4_K_M.gguf
sha256: 0286db34a9417e41361da1650364708000d437c782355fa15ae9395f1782abdc
uri: https://huggingface.co/mradermacher/RuntimeLabs-Kayak-Qwen3-VL-4B-GGUF/resolve/4228a5ebf59c63b1f809fd553fdde19ede7ac104/RuntimeLabs-Kayak-Qwen3-VL-4B.Q4_K_M.gguf
- filename: mmproj/RuntimeLabs-Kayak-Qwen3-VL-4B.mmproj-f16.gguf
sha256: 519eeb6616f5d014af407f28bfaad6ce5930468fadadaaf0c3cbfff270b763ad
uri: https://huggingface.co/mradermacher/RuntimeLabs-Kayak-Qwen3-VL-4B-GGUF/resolve/4228a5ebf59c63b1f809fd553fdde19ede7ac104/RuntimeLabs-Kayak-Qwen3-VL-4B.mmproj-f16.gguf
- name: runtimelabs-kayak-qwen3-vl-4b-q8
url: github:mudler/LocalAI/gallery/virtual.yaml@master
urls:
- https://huggingface.co/ayushadarsh7/RuntimeLabs-Kayak-Qwen3-VL-4B
- https://huggingface.co/mradermacher/RuntimeLabs-Kayak-Qwen3-VL-4B-GGUF
license: apache-2.0
description: |
RuntimeLabs Kayak is a 4B Qwen3-VL fine-tune for screenshot grounding on Kayak flight-search interfaces.
It predicts a single action and a normalized bounding box from an image and instruction.
This Q8_0 GGUF build includes the F16 vision projector and uses an 8,192-token context with llama.cpp.
tags:
- llm
- gguf
- cpu
- gpu
- qwen3-vl
- multimodal
- vision
- screenshot-grounding
overrides:
backend: llama-cpp
context_size: 8192
known_usecases:
- chat
known_input_modalities:
- text
- image
mmproj: mmproj/RuntimeLabs-Kayak-Qwen3-VL-4B.mmproj-f16.gguf
options:
- use_jinja:true
template:
use_tokenizer_template: true
parameters:
model: RuntimeLabs-Kayak-Qwen3-VL-4B.Q8_0.gguf
temperature: 0
mmap: true
files:
- filename: RuntimeLabs-Kayak-Qwen3-VL-4B.Q8_0.gguf
sha256: 1e0109e2a5b92f3e369937f35e354652b5c7b4fb0dac040a459556e6af07b036
uri: https://huggingface.co/mradermacher/RuntimeLabs-Kayak-Qwen3-VL-4B-GGUF/resolve/4228a5ebf59c63b1f809fd553fdde19ede7ac104/RuntimeLabs-Kayak-Qwen3-VL-4B.Q8_0.gguf
- filename: mmproj/RuntimeLabs-Kayak-Qwen3-VL-4B.mmproj-f16.gguf
sha256: 519eeb6616f5d014af407f28bfaad6ce5930468fadadaaf0c3cbfff270b763ad
uri: https://huggingface.co/mradermacher/RuntimeLabs-Kayak-Qwen3-VL-4B-GGUF/resolve/4228a5ebf59c63b1f809fd553fdde19ede7ac104/RuntimeLabs-Kayak-Qwen3-VL-4B.mmproj-f16.gguf
- name: qwen3-vl-4b-instruct
url: github:mudler/LocalAI/gallery/qwen3.yaml@master
urls: