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 fastest tactical way to launch this model locally is via a Docker image.
Follow the sequence of steps detailed below.
The script takes care of fetching the multi-gigabyte model weights.
The installer will automatically analyze your hardware and select the optimal configuration.
GLM-5.2-FP8 is a next‑generation language model that combines massive scale with FP8 quantization to deliver unprecedented efficiency.
It features a parameter count of 180 billion weights, enabling it to handle complex reasoning tasks with high fidelity.
The model achieves inference speeds of up to 200 tokens per second on standard hardware, making it suitable for real‑time applications.
Its multimodal architecture supports text, code, and image inputs, allowing developers to build versatile solutions without deploying multiple models.
By leveraging advanced quantization techniques, GLM-5.2-FP8 reduces memory footprint while preserving state‑of‑the‑art performance across benchmarks.
| Spec | Value |
|---|---|
| Parameters | 180 B |
| Precision | FP8 |
| Throughput | 200 tokens/s |
| Modalities | Text, Code, Image |
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