Skip to content
Run LLM Locally

Qwen3 1.7B on the Arc A770 16 GB

With 16 GB of VRAM, the Arc A770 16 GB runs Qwen3 1.7B at Q4_K_M entirely on the GPU with an 8K context (about 3.2 GB needed). At Q8_0 it fits entirely.

ShareFacebookXWhatsAppLinkedInEmail

Qwen3 1.7B

Q4_K_M · 8K context

Excellent

The model needs about 3.2 GB and fits in the 15.5 GB available, with 12.3 GB to spare.

Your hardware
Arc A770 16 GB · 64 GB RAM
Estimated memory
~3.2 GB estimate
VRAM (usable memory)
15.5 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
120–189 tok/s estimate
Largest context in fast memory
32K tokens
Confidence: low

Based on: memory bandwidth (560 GB/s) and model size

Memory breakdown

~3.2 GB (2.8 GB–3.6 GB) needed · estimate

Fits entirely in VRAM · 12.3 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 (SYCL) · 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 Arc A770 16 GB

Qwen3 1.7B on Arc A770 16 GB + 64 GB RAM · 8K context
Qwen3 1.7B Q8_08K~3.7 GB · 91–144 tok/s estimateExcellent
Qwen3 1.7B Q6_K8K~3.6 GB · 98–154 tok/s estimateExcellent
Qwen3 1.7B Q5_K_M8K~3.4 GB · 108–170 tok/s estimateExcellent
Qwen3 1.7B Q4_K_M8K~3.2 GB · 120–189 tok/s estimateExcellent
Qwen3 1.7B IQ4_XS8K~3.1 GB · 128–201 tok/s estimateExcellent
Qwen3 1.7B Q3_K_M8K~3 GB · 136–214 tok/s estimateExcellent

Alternatives

GPUs that run Qwen3 1.7B Q4_K_M entirely in VRAM

Other models that fit the Arc A770 16 GB

Where to buy a Arc A770 16 GB

Prices and links follow the market you choose.

Intel Arc A770 16 GB

16 GB GDDR6 · 560 GB/s · 225 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 Arc A770 16 GB run Qwen3 1.7B?
The model needs about 3.2 GB and fits in the 15.5 GB available, with 12.3 GB to spare.
Which quantization should I use on the Arc A770 16 GB?
Q8_0 is the highest-precision quantization that fits entirely in VRAM at 8K context. ~3.7 GB / 15.5 GB.
What is the largest context on the Arc A770 16 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 (Arc A770 16 GB)?
We estimate 120–189 tok/s (estimate, confidence low). Based on: memory bandwidth (560 GB/s) and model size.