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Run LLM Locally

Qwen3 0.6B on the RX 7900 XT

With 20 GB of VRAM, the RX 7900 XT runs Qwen3 0.6B at Q4_K_M entirely on the GPU with an 8K context (about 2.4 GB needed). At Q8_0 it fits entirely.

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Qwen3 0.6B

Q4_K_M · 8K context

Excellent

The model needs about 2.4 GB and fits in the 19.4 GB available, with 17 GB to spare.

Your hardware
RX 7900 XT 20 GB · 64 GB RAM
Estimated memory
~2.4 GB estimate
VRAM (usable memory)
19.4 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
223–420 tok/s estimate
Largest context in fast memory
32K tokens
Confidence: low

Based on: memory bandwidth (800 GB/s) and model size

Memory breakdown

~2.4 GB (2.1 GB–2.8 GB) needed · estimate

Fits entirely in VRAM · 17 GB left

  • Model weights0.5 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 XT

Qwen3 0.6B on RX 7900 XT + 64 GB RAM · 8K context
Qwen3 0.6B Q8_08K~2.6 GB · 210–386 tok/s estimateExcellent
Qwen3 0.6B Q6_K8K~2.6 GB · 212–390 tok/s estimateExcellent
Qwen3 0.6B Q5_K_M8K~2.5 GB · 217–405 tok/s estimateExcellent
Qwen3 0.6B Q4_K_M8K~2.4 GB · 223–420 tok/s estimateExcellent
Qwen3 0.6B IQ4_XS8K~2.4 GB · 226–428 tok/s estimateExcellent
Qwen3 0.6B Q3_K_M8K~2.4 GB · 229–437 tok/s estimateExcellent

Alternatives

GPUs that run Qwen3 0.6B Q4_K_M entirely in VRAM

Other models that fit the RX 7900 XT

Where to buy a RX 7900 XT

Prices and links follow the market you choose.

Radeon RX 7900 XT

20 GB GDDR6 · 800 GB/s · 315 W

ExcellentRuns Qwen3 0.6B Q4_K_M entirely in memory

Price not available

Availability unknown

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Frequently asked questions

Can the RX 7900 XT run Qwen3 0.6B?
The model needs about 2.4 GB and fits in the 19.4 GB available, with 17 GB to spare.
Which quantization should I use on the RX 7900 XT?
Q8_0 is the highest-precision quantization that fits entirely in VRAM at 8K context. ~2.6 GB / 19.4 GB.
What is the largest context on the RX 7900 XT?
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 0.6B (RX 7900 XT)?
We estimate 223–420 tok/s (estimate, confidence low). Based on: memory bandwidth (800 GB/s) and model size.