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Ornith-1.5-9B-Uncensored-OpenVINO-INT4
vonvonhero/Ornith-1.5-9B-Uncensored-OpenVINO-INT4
Ornith-1.5-9B-Uncensored-OpenVINO-INT4 is a image-text-to-text model from vonvonhero. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for openvino. The card lists the license as mit.
OpenVINO INT4 IR of an uncensored variant of ornith-ai/Ornith-1.5-9B.
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At a glance
- Task
- Image-Text-to-Text
- Library
- openvino
- License
- mit
- Model type
- qwen3_5
- Access
- Public
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026
- SHA
- c0fa357a
Try a prompt
Base models
Model card
From the Hugging Face model README
Ornith-1.5-9B-Uncensored-OpenVINO-INT4
OpenVINO INT4 IR of an uncensored variant of ornith-ai/Ornith-1.5-9B.
The model was exported as a Qwen3.5 vision-language model and can also be used for text-only generation.
Evaluation
| Format | Size | JailbreakBench ASR | HarmBench ASR (159 standard behaviors) |
|---|---|---|---|
| OpenVINO INT4 | 5.8 GiB | 93/100 (93.0%) | 145/159 (91.2%) |
Higher ASR indicates fewer refusals on these benchmarks. HarmBench behaviors were submitted as
direct requests. Evaluation used reasoning off, temperature 0, seed 42, a 256-token output limit,
and the HarmBench-Llama-2-13b-cls classifier. Results can vary with runtime, prompt format,
sampling, and context.
Requirements
- OpenVINO 2026.3.x
- OpenVINO GenAI 2026.3.x
Usage
import openvino_genai as ov_genai
pipe = ov_genai.VLMPipeline("/path/to/model", "GPU")
result = pipe.generate("日本語で短く自己紹介して。", max_new_tokens=128)
print(result.texts[0])
Use VLMPipeline, not LLMPipeline.
Validation
The IR passed structural loading, text-only CPU generation, and text-only Intel GPU generation with OpenVINO GenAI 2026.3.1.
License
MIT. See LICENSE, NOTICE, and the original model for upstream information.
- Task
- Image-Text-to-Text
- Library
- openvino
- Type
- qwen3_5
- License
- mit
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026