Can an NVIDIA GeForce RTX 4060 run Qwen3.5-9B?
Just barely. Qwen3.5-9B needs 7.24GB at Q4_K_M with llama.cpp and 8K context; the NVIDIA GeForce RTX 4060 has 8GB of VRAM (7.50GB usable) — grade C: it loads, but there is little headroom for longer context.
NVIDIA GeForce RTX 4060 · Qwen3.5-9B · Q4_K_M
⚠️ Tight — grade C
InteractivebetaHybrid attention — KV computed as full-cache upper bound
weights 5.68 GBKV cache 1.07 GBoverhead 0.48 GBpool 7.50 GBneeds 7.24 GB
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
$299 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA GeForce RTX 4060 × Qwen3.5-9B, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 9.5 GB | Tight · C | usable · offload · beta |
| Q6_K | 7.5 GB | Tight · C | usable · offload · beta |
| Q5_K_M | 6.6 GB | Tight · C | usable · offload · beta |
| Q4_K_M | 5.7 GB | Tight · C | interactive · beta |
Qwen3.5-9B on similar hardware
More models on the NVIDIA GeForce RTX 4060
Verdict computed from published specs and measured GGUF file sizes — see how the math works.