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Run LLM Locally

Qwen3 1.7B on the RX 7900 XTX

With 24 GB of VRAM, the RX 7900 XTX 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.

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Qwen3 1.7B

Q4_K_M · 8K context

Excellent

The model needs about 3.2 GB and fits in the 23.3 GB available, with 20.1 GB to spare.

Your hardware
RX 7900 XTX 24 GB · 64 GB RAM
Estimated memory
~3.2 GB estimate
VRAM (usable memory)
23.3 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
186–328 tok/s estimate
Largest context in fast memory
32K tokens
Confidence: low

Based on: memory bandwidth (960 GB/s) and model size

Memory breakdown

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

Fits entirely in VRAM · 20.1 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 (ROCm) · 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 RX 7900 XTX

Qwen3 1.7B on RX 7900 XTX + 64 GB RAM · 8K context
Qwen3 1.7B Q8_08K~3.7 GB · 162–273 tok/s estimateExcellent
Qwen3 1.7B Q6_K8K~3.6 GB · 168–287 tok/s estimateExcellent
Qwen3 1.7B Q5_K_M8K~3.4 GB · 177–307 tok/s estimateExcellent
Qwen3 1.7B Q4_K_M8K~3.2 GB · 186–328 tok/s estimateExcellent
Qwen3 1.7B IQ4_XS8K~3.1 GB · 192–341 tok/s estimateExcellent
Qwen3 1.7B Q3_K_M8K~3 GB · 197–354 tok/s estimateExcellent

Alternatives

GPUs that run Qwen3 1.7B Q4_K_M entirely in VRAM

Other models that fit the RX 7900 XTX

Where to buy a RX 7900 XTX

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Radeon RX 7900 XTX

24 GB GDDR6 · 960 GB/s · 355 W

ExcellentRuns Qwen3 1.7B Q4_K_M entirely in memory

Price not available

Availability unknown

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Frequently asked questions

Can the RX 7900 XTX run Qwen3 1.7B?
The model needs about 3.2 GB and fits in the 23.3 GB available, with 20.1 GB to spare.
Which quantization should I use on the RX 7900 XTX?
Q8_0 is the highest-precision quantization that fits entirely in VRAM at 8K context. ~3.7 GB / 23.3 GB.
What is the largest context on the RX 7900 XTX?
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 (RX 7900 XTX)?
We estimate 186–328 tok/s (estimate, confidence low). Based on: memory bandwidth (960 GB/s) and model size.