Qwen3-VL-30B-A3B-Instruct-GGUF
This repository provides GGUF-format weights for Qwen3-VL-30B-A3B-Instruct, split into two components:
Params
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Context
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| Qwen3VL-30B-A3B-Instruct-Q4_K_M.gguf | Q4_K_M | 18.6 GB | 20.9 GB | ⚠️ Tight — reduce context |
| Qwen3VL-30B-A3B-Instruct-Q8_0.gguf | Q8_0 | 32.5 GB | 36.2 GB | ❌ Won’t fit |
| Qwen3VL-30B-A3B-Instruct-F16-split-00001-of-00002.gguf | GGUF | 49.7 GB | 55.2 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2025-10-31
- Base model
- Qwen3-VL-30B-A3B-Instruct
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-11
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any image-text-to-text model