Quantization-specific throughput and VRAM requirements for Alibaba-NLP/gte-Qwen2-1.5B-instruct running on NVIDIA H100 SXM5 80GB.
Speed values come from the compatibility dataset (`estimatedTokensPerSec`) and are sorted by quantization.
For full verdict logic and alternate GPUs, see the canonical compatibility page.
Open full compatibility report| Quantization | VRAM needed | VRAM available | Speed | Verdict |
|---|---|---|---|---|
| Q4 | 3GB | 80GB | 523 tok/s | ✅ Fits |
| Q8 | 5GB | 80GB | 358 tok/s | ✅ Fits |
| FP16 | 11GB | 80GB | 181 tok/s | ✅ Fits |