Rent a GPU

Can the NVIDIA RTX 5060 Ti 8GB run Qwen2.5 Coder 7B?

RTX 5060 Ti 8GB × Qwen2.5 Coder 7B8K context
YesRuns fully on the GPU
Memory at Q6_K7.3 GB of 8 GB
Weights 6.2 GBKV cache 0.5 GBRuntime 0.6 GB
QuantQ6_KExcellent
Speed~43tokens per second
Max context19Ktokens that fit at Q6_K
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX 5060 Ti 8GB can run Qwen2.5 Coder 7B fully in VRAM at Q6_K (excellent), using about 7.3 GB of the 8 GB available, at roughly 43 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen2.5 Coder 7B:

ollama run qwen2.5-coder:7b

Ollama's default download is Q4_K_M (about 5.7 GB here). You have room for Q6_K, which is excellent: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 5060 Ti 8GB

Run it in the cloud

No NVIDIA RTX 5060 Ti 8GB? Run Qwen2.5 Coder 7B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

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 8 GB the NVIDIA RTX 5060 Ti 8GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality16.3 GBToo big—
Q8_0Near-lossless9.2 GBToo big—
Q6_KExcellent7.3 GBFits~43 tok/s
Q5_K_MVery good6.5 GBFits~50 tok/s
Q4_K_MGood, most popular5.7 GBFits~58 tok/s
Q3_K_MNoticeably degraded4.8 GBFits~72 tok/s
Q2_KHeavily degraded3.9 GBFits~94 tok/s

Measured speed from real RTX 5060 Ti 8GB owners

Tokens per second that people measured on their own NVIDIA RTX 5060 Ti 8GB, next to our estimate.

No one has measured Qwen2.5 Coder 7B on the NVIDIA RTX 5060 Ti 8GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5060 Ti 8GB? Add your real speed

One command times Qwen2.5 Coder 7B 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 -- qwen2.5-coder:7b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen2.5-coder:7b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen2.5 Coder 7B comfortably

Models that run well on the NVIDIA RTX 5060 Ti 8GB

Frequently asked questions

Can NVIDIA RTX 5060 Ti 8GB run Qwen2.5 Coder 7B?

Yes. The NVIDIA RTX 5060 Ti 8GB can run Qwen2.5 Coder 7B fully in VRAM at Q6_K (excellent), using about 7.3 GB of the 8 GB available, at roughly 43 tokens/second.

How much VRAM does Qwen2.5 Coder 7B need?

About 5.7 GB at Q4_K_M with 8,192 tokens of context, and about 16.3 GB at full FP16 precision.

How fast is Qwen2.5 Coder 7B on the NVIDIA RTX 5060 Ti 8GB?

Roughly 43 tokens per second at Q6_K, estimated from the NVIDIA RTX 5060 Ti 8GB's 448 GB/s memory bandwidth.