Instructions to use oracomputing/OraQwen3-Omni-20B-A3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oracomputing/OraQwen3-Omni-20B-A3B-Instruct with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("oracomputing/OraQwen3-Omni-20B-A3B-Instruct") model = AutoModelForMultimodalLM.from_pretrained("oracomputing/OraQwen3-Omni-20B-A3B-Instruct") - Notebooks
- Google Colab
- Kaggle
EVALUATION-ONLY ACCESS
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This is a private evaluation version of OraQwen3-Omni-20B-A3B-Instruct.
By agreeing, you accept:
- Internal testing only; no production use
- No commercial use, redistribution, or reverse-engineering
- Deletion of all files after evaluation
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OraQwen3-Omni-20B-A3B-Instruct
This repository contains the OraQwen3-Omni-20B-A3B-Instruct model developed by Ora Computing. This is a compressed and fine-tuned derivative of the Qwen3-Omni-30B-A3B-Instruct model.
Model Overview
Model name: OraQwen3-Omni-20B-A3B-Instruct
Base model: Qwen3-Omni-30B-A3B-Instruct
Derived size: ~20 billion total parameters / ~3 billion active parameters (MoE; compressed from the base model's ~30 billion total)
Purpose: Evaluation/test-use only; optimized for internal benchmarking and non-production integration.
License: See LICENSE (Custom Model License Agreement)
Intended Use & Restrictions
Permitted use
- Internal testing, benchmarking, and evaluation of the model by the named Licensee.
- Exploration of model behaviours, prompt engineering, and non-production prototypes.
- Evaluation across supported modalities: text, audio, image, and video input; text and audio output.
Prohibited use
- Deployment in a production or commercial service, publicly-facing API, resale, or redistribution.
- Fine-tuning or creating derivative models for production use without a separate agreement.
- Disclosure or sharing of the model (or its weights) to third parties beyond the named Licensee.
Out-of-scope use
- Use of the model in regulated or safety-critical contexts (unless separately permitted).
- Any use that violates the Apache License, Version 2.0 under which the Base Model is distributed.
Compression & Fine-Tuning
- Parameter count compression: Total parameter count reduced from 30 billion to 20 billion by compressing MLP layers; the MoE active-parameter count (3B) is unchanged.
- Fine-tuning: The compressed model was subsequently fine-tuned on proprietary data curated by Ora Computing.
Limitations & Risks
- Compressed models may not replicate the full behaviour of the base model under all prompt categories, particularly domain-specific or rare inputs.
- The model is provided as-is for testing only and is not certified for production use.
- Users should validate outputs carefully and monitor for bias or unintended behaviours.
Upstream Attribution
This model is derived from the Qwen3-Omni-30B-A3B-Instruct model released by Alibaba Cloud under the Apache License, Version 2.0.
"Copyright 2025 Alibaba Cloud. Licensed under the Apache License, Version 2.0."
For full terms, see: https://github.com/QwenLM/Qwen3-Omni/blob/main/LICENSE
Apache License, Version 2.0: https://www.apache.org/licenses/LICENSE-2.0
Contact & Support
For licensing inquiries or to request extended evaluation rights, please contact:
info@oracomputing.com
Repository and model access are regulated. Do not redistribute or share without explicit written permission from Ora Computing.
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