Qwen3-VL-30B-A3B-Instruct No-Internet Version
- 17. Juli 2026
- Quantizations
The shortest path to running this model is by activating Hyper-V features. Follow the straightforward walkthrough provided below. The setup auto-streams the... Mehr lesen
The shortest path to running this model is by activating Hyper-V features.
Check out the detailed setup guide below to begin.
Everything happens automatically, including the heavy cloud asset download.
You don’t need to tweak anything; the installer picks the highest performing setup.
DeepSeek-V4-Pro introduces a groundbreaking sparse‑attention architecture that dramatically cuts compute costs while retaining the ability to model long‑range contexts. With a staggering parameter count exceeding 1.5 trillion weights, the model delivers superior multilingual capabilities and nuanced reasoning. It has been trained on a meticulously curated training dataset of more than 5 trillion tokens, encompassing code repositories, scientific papers, and diverse conversational sources. Benchmark results highlight its state‑of‑the‑art performance across reasoning, coding, and factual QA tasks, often outpacing earlier models by double‑digit margins. Key technical specifications are summarized below:
| Metric | Value |
|---|---|
| Parameters | 1.5 T |
| Training Tokens | 5 T |
| Context Length | 8K |
| FLOPs per Token | 2.3×10^12 |
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