QwenQwen3.6-27B on NVIDIA GeForce RTX 3080 10GB
RTX 3080 10GB cannot run Qwen3.6-27B. 10 GB VRAM is insufficient at any quantization level.
Model Size
27B
Device VRAM
10 GB
Bandwidth
760 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3.6-27B on NVIDIA GeForce RTX 3080 10GB at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | – | – | ✗ Offload | Not viable | estimated |
Notes
Q3_K_M
Q3_K_M needs 14GB but only 10GB available. Requires CPU offloading — significantly slower. Qwen 3.6 dense 27B; VRAM slightly above Qwen 3.5-27B. Does not fit in 10GB VRAM (15GB required for Q3_K_M).
About Qwen3.6-27B
Qwen3.6-27B (27B) is a chat, coding, ai coding, reasoning, multi-purpose model. Dense 27B from the Qwen 3.6 family (April 2026). Strong coding and agentic workflows; native multimodal. 262K context window. VRAM figures include modest KV headroom at default context; long-context runs need more memory or KV cache quantization. Apache 2.0.
View all Qwen3.6-27B hardware options →About NVIDIA GeForce RTX 3080 10GB
NVIDIA GeForce RTX 3080 10GB has 10 GB at 760 GB/s. Street price: $399.
See all models NVIDIA GeForce RTX 3080 10GB can run →Estimate method: Estimated from Qwen 3 32B and MoE benchmarks with size/architecture scaling. Reference hardware source: github.com (2026-05-26)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.