Skip to content
Run LLM Locally

Llama 3.2 3B Instruct on the RX 6800 XT

With 16 GB of VRAM, the RX 6800 XT runs Llama 3.2 3B Instruct at Q4_K_M entirely on the GPU with an 8K context (about 3.7 GB needed). At Q8_0 it fits entirely.

Llama 3.2 3B Instruct

Q4_K_M · 8K context

Excellent

The model needs about 3.7 GB and fits in the 15.5 GB available, with 11.8 GB to spare.

Your hardware
RX 6800 XT 16 GB · 64 GB RAM
Estimated memory
~3.7 GB estimate
VRAM (usable memory)
15.5 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
108–184 tok/s estimate
Largest context in fast memory
111K tokens
Confidence: low

Based on: memory bandwidth (512 GB/s) and model size

Memory breakdown

~3.7 GB (3.4 GB–4.1 GB) needed · estimate

Fits entirely in VRAM · 11.8 GB left

  • Model weights1.9 GB
  • KV cache0.9 GB
  • Runtime overhead0.7 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 6800 XT

Llama 3.2 3B Instruct on RX 6800 XT + 64 GB RAM · 8K context
Llama 3.2 3B Instruct Q8_08K~5.1 GB · 74–120 tok/s estimateExcellent
Llama 3.2 3B Instruct Q6_K8K~4.3 GB · 90–149 tok/s estimateExcellent
Llama 3.2 3B Instruct Q5_K_M8K~4 GB · 99–165 tok/s estimateExcellent
Llama 3.2 3B Instruct Q4_K_M8K~3.7 GB · 108–184 tok/s estimateExcellent
Llama 3.2 3B Instruct IQ4_XS8K~3.6 GB · 116–199 tok/s estimateExcellent
Llama 3.2 3B Instruct Q3_K_M8K~3.4 GB · 122–211 tok/s estimateExcellent

Alternatives

Where to buy a RX 6800 XT

Prices and links follow the market you choose.

Radeon RX 6800 XT

16 GB GDDR6 · 512 GB/s · 300 W

ExcellentRuns Llama 3.2 3B 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 6800 XT run Llama 3.2 3B Instruct?
The model needs about 3.7 GB and fits in the 15.5 GB available, with 11.8 GB to spare.
Which quantization should I use on the RX 6800 XT?
Q8_0 is the highest-precision quantization that fits entirely in VRAM at 8K context. ~5.1 GB / 15.5 GB.
What is the largest context on the RX 6800 XT?
At Q4_K_M, about 111K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Llama 3.2 3B Instruct (RX 6800 XT)?
We estimate 108–184 tok/s (estimate, confidence low). Based on: memory bandwidth (512 GB/s) and model size.