Can the AMD Radeon AI PRO R9700 run Llama 3.1 70B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. Llama 3.1 70B fits on the AMD Radeon AI PRO R9700 at Q2_K, which costs noticeable quality. Expect about 15 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default llama3.1:70b download is Q4_K_M, which needs about 46.1 GB, more than the 32 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.
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Memory needed by quantization
At 8,192 tokens of context. The black line marks the 32 GB the AMD Radeon AI PRO R9700 can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 144.5 GB | Too big | — | |
| Q8_0 | Near-lossless | 78.3 GB | Too big | — | |
| Q6_K | Excellent | 61.2 GB | Too big | — | |
| Q5_K_M | Very good | 53.5 GB | Too big | — | |
| Q4_K_M | Good, most popular | 46.1 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 37.8 GB | Too big | — | |
| Q2_K | Heavily degraded | 29.8 GB | Fits | ~15 tok/s |
Measured speed from real Radeon AI PRO R9700 owners
Tokens per second that people measured on their own AMD Radeon AI PRO R9700, next to our estimate.
No one has measured Llama 3.1 70B on the AMD Radeon AI PRO R9700 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have a Radeon AI PRO R9700? Add your real speed
One command times Llama 3.1 70B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.
macOS and Linux
curl -fsSL https://gpufit.dev/bench.sh | sh -s -- llama3.1:70bWindows (PowerShell)
$env:GPUFIT_MODEL="llama3.1:70b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Llama 3.1 70B comfortably
Models that run well on the AMD Radeon AI PRO R9700
Frequently asked questions
Can AMD Radeon AI PRO R9700 run Llama 3.1 70B?
Only just. Llama 3.1 70B fits on the AMD Radeon AI PRO R9700 at Q2_K, which costs noticeable quality. Expect about 15 tokens/second. A card with more memory is a better experience.
How much VRAM does Llama 3.1 70B need?
About 46.1 GB at Q4_K_M with 8,192 tokens of context, and about 144.5 GB at full FP16 precision.
How fast is Llama 3.1 70B on the AMD Radeon AI PRO R9700?
Roughly 15 tokens per second at Q2_K, estimated from the AMD Radeon AI PRO R9700's 640 GB/s memory bandwidth.