Meta Llama Llama 2 13B Chat HF speed on AMD Instinct MI250X and quantization-level VRAM fit.
AMD Instinct MI250X meets the minimum VRAM requirement for Q4 inference of Meta Llama Llama 2 13B Chat HF. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Instinct MI250X can run Meta Llama Llama 2 13B Chat HF with Q4 quantization. At approximately 358 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 121GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 7GB | 128GB | 358.17 tok/s | ✅ Fits comfortably |
| Q8 | 13GB | 128GB | 250.72 tok/s | ✅ Fits comfortably |
| FP16 | 26GB | 128GB | 136.10 tok/s | ✅ Fits comfortably |
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AMD Instinct MI250X can run Meta Llama Llama 2 13B Chat HF at Q4 with an estimated 358 tok/s.
Q4 inference is estimated to need about 7GB VRAM on this page, while AMD Instinct MI250X has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.