Rent a GPU

Can the NVIDIA RTX 4060 Ti 16GB run gpt-oss 120B?

RTX 4060 Ti 16GB × gpt-oss 120B8K context
NoDoes not fit in memory
Memory at Q4_K_M72 GB of 16 GB
Weights 70.8 GBKV cache 0.6 GBRuntime 0.6 GB
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, gpt-oss 120B needs about 72 GB, but the NVIDIA RTX 4060 Ti 16GB has 16 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

Run it on a rented GPU

On a cloud GPU with enough memory, the same command you'd use locally works:

ollama run gpt-oss:120b

At Q4_K_M it needs about 72 GB, so pick a GPU with at least 80 GB.

New to this? Step-by-step setup for the RTX 4060 Ti 16GB

Run it in the cloud

Too big for the NVIDIA RTX 4060 Ti 16GB? Run gpt-oss 120B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4060 Ti 16GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality234.8 GBToo big—
Q8_0Near-lossless125.3 GBToo big—
Q6_KExcellent97 GBToo big—
Q5_K_MVery good84.3 GBToo big—
Q4_K_MGood, most popular72 GBToo big—
Q3_K_MNoticeably degraded58.3 GBToo big—
Q2_KHeavily degraded45 GBToo big—

Measured speed from real RTX 4060 Ti 16GB owners

Tokens per second that people measured on their own NVIDIA RTX 4060 Ti 16GB, next to our estimate.

No one has measured gpt-oss 120B on the NVIDIA RTX 4060 Ti 16GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4060 Ti 16GB? Add your real speed

One command times gpt-oss 120B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- gpt-oss:120b

Windows (PowerShell)

$env:GPUFIT_MODEL="gpt-oss:120b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run gpt-oss 120B comfortably

Models that run well on the NVIDIA RTX 4060 Ti 16GB

Frequently asked questions

Can NVIDIA RTX 4060 Ti 16GB run gpt-oss 120B?

No. Even at Q4_K_M, gpt-oss 120B needs about 72 GB, but the NVIDIA RTX 4060 Ti 16GB has 16 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does gpt-oss 120B need?

About 72 GB at Q4_K_M with 8,192 tokens of context, and about 234.8 GB at full FP16 precision.

How fast is gpt-oss 120B on the NVIDIA RTX 4060 Ti 16GB?

It does not fit in the NVIDIA RTX 4060 Ti 16GB's memory, so most layers would run from system RAM and generation would be very slow.