Skip to content
Run LLM Locally

Qwen3 1.7B on the RTX 4060 Ti 8 GB

With 8 GB of VRAM, the RTX 4060 Ti 8 GB runs Qwen3 1.7B at Q4_K_M entirely on the GPU with an 8K context (about 3.1 GB needed). At Q8_0 it fits entirely.

ShareFacebookXWhatsAppLinkedInEmail

Qwen3 1.7B

Q4_K_M · 8K context

Excellent

The model needs about 3.1 GB and fits in the 7.7 GB available, with 4.5 GB to spare.

Your hardware
RTX 4060 Ti 8 GB · 64 GB RAM
Estimated memory
~3.1 GB estimate
VRAM (usable memory)
7.7 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
105–149 tok/s estimate
Largest context in fast memory
32K tokens
Confidence: low

Based on: memory bandwidth (288 GB/s) and model size

Memory breakdown

~3.1 GB (2.8 GB–3.5 GB) needed · estimate

Fits entirely in VRAM · 4.5 GB left

  • Model weights1.2 GB
  • KV cache0.9 GB
  • Runtime overhead0.8 GB
  • Safety margin0.3 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (CUDA) · flash attention on · weights = real file size

EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card

What makes this estimate less reliable

  • no benchmark for this hardware and model yet

Other quantizations on the RTX 4060 Ti 8 GB

Qwen3 1.7B on RTX 4060 Ti 8 GB + 64 GB RAM · 8K context
Qwen3 1.7B Q8_08K~3.7 GB · 83–115 tok/s estimateExcellent
Qwen3 1.7B Q6_K8K~3.5 GB · 88–124 tok/s estimateExcellent
Qwen3 1.7B Q5_K_M8K~3.3 GB · 96–135 tok/s estimateExcellent
Qwen3 1.7B Q4_K_M8K~3.1 GB · 105–149 tok/s estimateExcellent
Qwen3 1.7B IQ4_XS8K~3 GB · 110–158 tok/s estimateExcellent
Qwen3 1.7B Q3_K_M8K~2.9 GB · 116–167 tok/s estimateExcellent

Alternatives

GPUs that run Qwen3 1.7B Q4_K_M entirely in VRAM

Other models that fit the RTX 4060 Ti 8 GB

Where to buy a RTX 4060 Ti 8 GB

Prices and links follow the market you choose.

GeForce RTX 4060 Ti 8 GB

8 GB GDDR6 · 288 GB/s · 160 W

ExcellentRuns Qwen3 1.7B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

No current offer imported for this market: the link opens a marketplace search.

Frequently asked questions

Can the RTX 4060 Ti 8 GB run Qwen3 1.7B?
The model needs about 3.1 GB and fits in the 7.7 GB available, with 4.5 GB to spare.
Which quantization should I use on the RTX 4060 Ti 8 GB?
Q8_0 is the highest-precision quantization that fits entirely in VRAM at 8K context. ~3.7 GB / 7.7 GB.
What is the largest context on the RTX 4060 Ti 8 GB?
At Q4_K_M, about 32K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Qwen3 1.7B (RTX 4060 Ti 8 GB)?
We estimate 105–149 tok/s (estimate, confidence low). Based on: memory bandwidth (288 GB/s) and model size.