Can an NVIDIA GeForce RTX 4080 run Qwen3.5-9B?
Yes. Qwen3.5-9B needs 11.1GB at Q8_0 with llama.cpp and 8K context; the NVIDIA GeForce RTX 4080 has 16GB of VRAM (15.5GB usable) — grade B, with decode speed in the interactive tier.
NVIDIA GeForce RTX 4080 · Qwen3.5-9B · Q8_0
✅ Fits — grade B
InteractivebetaHybrid attention — KV computed as full-cache upper bound
weights 9.53 GBKV cache 1.07 GBoverhead 0.48 GBpool 15.5 GBneeds 11.1 GB
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
$1,199 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA GeForce RTX 4080 × Qwen3.5-9B, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 9.5 GB | Fits · B | interactive · beta |
| Q6_K | 7.5 GB | Fits · A+ | interactive · beta |
| Q5_K_M | 6.6 GB | Fits · A+ | interactive · beta |
| Q4_K_M | 5.7 GB | Fits · A+ | interactive · beta |
Qwen3.5-9B on similar hardware
More models on the NVIDIA GeForce RTX 4080
Verdict computed from published specs and measured GGUF file sizes — see how the math works.