Skip to content
Run LLM Locally

Qwen2.5 14B Instruct on the RX 9070 XT

With 16 GB of VRAM, the RX 9070 XT runs Qwen2.5 14B Instruct at Q4_K_M entirely on the GPU with an 8K context (about 11.3 GB needed). At Q8_0 it does not fit in VRAM.

Qwen2.5 14B Instruct

Q4_K_M · 8K context

Excellent

The model needs about 11.3 GB and fits in the 15.5 GB available, with 4.2 GB to spare.

Your hardware
RX 9070 XT 16 GB · 64 GB RAM
Estimated memory
~11.3 GB estimate
VRAM (usable memory)
15.5 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
38–55 tok/s estimate
Largest context in fast memory
29K tokens
Confidence: low

Based on: memory bandwidth (640 GB/s) and model size

Memory breakdown

~11.3 GB (10.7 GB–11.9 GB) needed · estimate

Fits entirely in VRAM · 4.2 GB left

  • Model weights8.4 GB
  • KV cache1.5 GB
  • Runtime overhead0.9 GB
  • Safety margin0.5 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 9070 XT

Qwen2.5 14B Instruct on RX 9070 XT + 64 GB RAM · 8K context
Qwen2.5 14B Instruct Q8_08K~17.8 GB · 6.5–13 tok/s estimateCPU/GPU offload
Qwen2.5 14B Instruct Q6_K8K~14.3 GB · 30–43 tok/s estimateCompatible
Qwen2.5 14B Instruct Q5_K_M8K~12.8 GB · 34–48 tok/s estimateExcellent
Qwen2.5 14B Instruct Q4_K_M8K~11.3 GB · 38–55 tok/s estimateExcellent
Qwen2.5 14B Instruct IQ4_XS8K~10.4 GB · 41–60 tok/s estimateExcellent
Qwen2.5 14B Instruct Q3_K_M8K~9.7 GB · 44–65 tok/s estimateExcellent

Alternatives

Where to buy a RX 9070 XT

Prices and links follow the market you choose.

Radeon RX 9070 XT

16 GB GDDR6 · 640 GB/s · 304 W

ExcellentRuns Qwen2.5 14B Instruct 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 RX 9070 XT run Qwen2.5 14B Instruct?
The model needs about 11.3 GB and fits in the 15.5 GB available, with 4.2 GB to spare.
Which quantization should I use on the RX 9070 XT?
Q6_K is the highest-precision quantization that fits entirely in VRAM at 8K context. ~14.3 GB / 15.5 GB.
What is the largest context on the RX 9070 XT?
At Q4_K_M, about 29K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Qwen2.5 14B Instruct (RX 9070 XT)?
We estimate 38–55 tok/s (estimate, confidence low). Based on: memory bandwidth (640 GB/s) and model size.