Can the RTX 3060 Ti GDDR6X run Qwen3.5 4B?

Yes. Qwen3.5 4B fits the RTX 3060 Ti GDDR6X's 8 GB at Q4_K_M (about 4.8 GB needed), running at an estimated 116 tok/s. There's room for up to Q8_0 if you want higher quality.

VRAM
8 GB
Needs at Q4
4.8 GB
Headroom
3.2 GB
Speed (Q4_K_M)
~116 tok/s

Every quantization

Qwen3.5 4B (4.7B) on 8 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M3 GB4.8 GBFits easily~116 tok/s
Q5_K_M3 GB4.8 GBFits easily~116 tok/s
Q8_05 GB6.8 GBFits~70 tok/s
FP169 GB10.8 GBToo big -

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 3060 Ti GDDR6X's 608.3 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

Run it

Copy, paste, go

llama-server -hf unsloth/Qwen3.5-4B-GGUF -ngl 99

Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Qwen3.5 4B details →

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Same model, other hardware - and other models on this card

Qwen3.5 4B on other hardware

Also runs on the RTX 3060 Ti GDDR6X

Frequently asked

Quick answers

Can the GeForce RTX 3060 Ti GDDR6X run Qwen3.5 4B?

Yes. Qwen3.5 4B fits the RTX 3060 Ti GDDR6X's 8 GB at Q4_K_M (about 4.8 GB needed), running at an estimated 116 tok/s. There's room for up to Q8_0 if you want higher quality.

How much VRAM does Qwen3.5 4B need?

About 3 GB of weights at Q4_K_M, 5 GB at Q8_0 and 9 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Qwen3.5 4B on the RTX 3060 Ti GDDR6X?

Roughly 116 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX 3060 Ti GDDR6X's 608.3 GB/s memory bandwidth.