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Run LLM Locally

Granite 4.2 8B on the RX 7900 XTX

With 24 GB of VRAM, the RX 7900 XTX runs Granite 4.2 8B at Q4_K_M entirely on the GPU with an 8K context (about 7.3 GB needed). At Q8_0 it fits entirely.

Granite 4.2 8B

Q4_K_M · 8K context

Excellent

The model needs about 7.3 GB and fits in the 23.3 GB available, with 15.9 GB to spare.

Your hardware
RX 7900 XTX 24 GB · 64 GB RAM
Estimated memory
~7.3 GB estimate
VRAM (usable memory)
23.3 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
78–121 tok/s estimate
Largest context in fast memory
105K tokens
Confidence: low

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

Memory breakdown

~7.3 GB (6.9 GB–7.8 GB) needed · estimate

Fits entirely in VRAM · 15.9 GB left

  • Model weights5 GB
  • KV cache1.3 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 40 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

Granite 4.2 8B on RX 7900 XTX + 64 GB RAM · 8K context
Granite 4.2 8B Q8_08K~11.2 GB · 53–79 tok/s estimateExcellent
Granite 4.2 8B Q6_K8K~9.2 GB · 64–97 tok/s estimateExcellent
Granite 4.2 8B Q5_K_M8K~8.2 GB · 71–108 tok/s estimateExcellent
Granite 4.2 8B Q4_K_M8K~7.3 GB · 78–121 tok/s estimateExcellent
Granite 4.2 8B IQ4_XS8K~6.9 GB · 82–129 tok/s estimateExcellent
Granite 4.2 8B Q3_K_M8K~6.4 GB · 88–140 tok/s estimateExcellent

Alternatives

Where to buy a RX 7900 XTX

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Radeon RX 7900 XTX

24 GB GDDR6 · 960 GB/s · 355 W

ExcellentRuns Granite 4.2 8B Q4_K_M entirely in memory

Price not available

Availability unknown

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Frequently asked questions

Can the RX 7900 XTX run Granite 4.2 8B?
The model needs about 7.3 GB and fits in the 23.3 GB available, with 15.9 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. ~11.2 GB / 23.3 GB.
What is the largest context on the RX 7900 XTX?
At Q4_K_M, about 105K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Granite 4.2 8B (RX 7900 XTX)?
We estimate 78–121 tok/s (estimate, confidence low). Based on: memory bandwidth (960 GB/s) and model size.