| --- |
| base_model: ornith-ai/Ornith-1.5-9B |
| license: mit |
| pipeline_tag: image-text-to-text |
| library_name: openvino |
| tags: |
| - openvino |
| - openvino-genai |
| - int4 |
| - reasoning |
| - uncensored |
| --- |
| |
| # Ornith-1.5-9B-Uncensored-OpenVINO-INT4 |
|
|
| OpenVINO INT4 IR of an uncensored variant of |
| [ornith-ai/Ornith-1.5-9B](https://huggingface.co/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 |
|
|
| ```python |
| 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](LICENSE), [NOTICE](NOTICE), and the |
| [original model](https://huggingface.co/ornith-ai/Ornith-1.5-9B) for upstream information. |
|
|
