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Run LLM Locally

Mistral 7B Instruct v0.3 on the RX 7800 XT

With 16 GB of VRAM, the RX 7800 XT runs Mistral 7B Instruct v0.3 at Q4_K_M entirely on the GPU with an 8K context (about 5.9 GB needed). At Q8_0 it fits entirely.

Mistral 7B Instruct v0.3

Q4_K_M · 8K context

Excellent

The model needs about 5.9 GB and fits in the 15.5 GB available, with 9.6 GB to spare.

Your hardware
RX 7800 XT 16 GB · 64 GB RAM
Estimated memory
~5.9 GB estimate
VRAM (usable memory)
15.5 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
71–116 tok/s estimate
Largest context in fast memory
32K tokens
Confidence: low

Based on: memory bandwidth (624 GB/s) and model size

Memory breakdown

~5.9 GB (5.6 GB–6.2 GB) needed · estimate

Fits entirely in VRAM · 9.6 GB left

  • Model weights4.1 GB
  • KV cache1 GB
  • Runtime overhead0.5 GB
  • Safety margin0.3 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (Vulkan) · 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 7800 XT

Mistral 7B Instruct v0.3 on RX 7800 XT + 64 GB RAM · 8K context
Mistral 7B Instruct v0.3 Q8_08K~9.1 GB · 45–70 tok/s estimateExcellent
Mistral 7B Instruct v0.3 Q6_K8K~7.4 GB · 55–88 tok/s estimateExcellent
Mistral 7B Instruct v0.3 Q5_K_M8K~6.6 GB · 62–101 tok/s estimateExcellent
Mistral 7B Instruct v0.3 Q4_K_M8K~5.9 GB · 71–116 tok/s estimateExcellent
Mistral 7B Instruct v0.3 IQ4_XS8K~5.5 GB · 77–127 tok/s estimateExcellent
Mistral 7B Instruct v0.3 Q3_K_M8K~5.1 GB · 83–139 tok/s estimateExcellent

Alternatives

Where to buy a RX 7800 XT

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Radeon RX 7800 XT

16 GB GDDR6 · 624 GB/s · 263 W

ExcellentRuns Mistral 7B Instruct v0.3 Q4_K_M entirely in memory

Price not available

Availability unknown

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Frequently asked questions

Can the RX 7800 XT run Mistral 7B Instruct v0.3?
The model needs about 5.9 GB and fits in the 15.5 GB available, with 9.6 GB to spare.
Which quantization should I use on the RX 7800 XT?
Q8_0 is the highest-precision quantization that fits entirely in VRAM at 8K context. ~9.1 GB / 15.5 GB.
What is the largest context on the RX 7800 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 Mistral 7B Instruct v0.3 (RX 7800 XT)?
We estimate 71–116 tok/s (estimate, confidence low). Based on: memory bandwidth (624 GB/s) and model size.