Pick a GPU, or open Model and search a repo. Fit numbers are ours, not Gemini. This page answers the question before you buy.
Catalog & repo links via Hugging Face Hub
8 GB vram · 272 GB/s
6–8 cores (Ryzen 5 / Core i5), PCIe 4.0 · 16–32 GB RAM
System RAM besides VRAM. Low end ≈ VRAM; high end ≈ 2× for OS and offload.
| Speed | ||||||
|---|---|---|---|---|---|---|
| Whisper Large v3 | 1.6B | 3.84 | FP16 | perfect | — | — |
| DeepSeek R1 Distill Qwen 1.5B | 1.5B | 3.76 | FP16 | perfect | est. 25 | |
| Qwen2.5 1.5B Instruct | 1.5B | 3.76 | FP16 | perfect | est. 25 | |
| Qwen2.5 Coder 1.5B | 1.5B | 3.76 | FP16 | perfect | est. 25 | |
| Llama 3.2 1B Instruct | 1.2B | 3.17 | FP16 | perfect | est. 30 | |
| TinyLlama 1.1B Chat | 1.1B | 2.8 | FP16 | perfect | est. 34 | |
| Canary 1B | 1.0B | 2.71 | FP16 | perfect | — | — |
| Gemma 3 1B Instruct | 1.0B | 2.63 | FP16 | perfect | est. 36 | |
| Whisper Large v3 Turbo | 810M | 2.3 | FP16 | perfect | — | — |
| Florence-2 Large | 770M | 2.83 | FP16 | perfect | est. 34 | |
| Whisper Medium | 769M | 2.19 | FP16 | perfect | — | — |
| Distil-Whisper Large v3 | 760M | 2.19 | FP16 | perfect | — | — |
| BGE M3 | 570M | 2.79 | FP16 | perfect | — | — |
| Qwen2.5 0.5B Instruct | 490M | 1.46 | FP16 | perfect | est. 65 | |
| BGE Large EN v1.5 | 340M | 1.83 | FP16 | perfect | — | — |
| E5 Large v2 | 340M | 1.83 | FP16 | perfect | — | — |
| GTE Large | 340M | 1.14 | FP16 | perfect | — | — |
| mxbai embed large v1 | 340M | 1.14 | FP16 | perfect | — | — |
| RF-DETR Large | 320M | 2.31 | FP16 | perfect | — | — |
| SAM ViT-Large | 308M | 2.26 | FP16 | perfect | — | — |
| Whisper Small | 244M | 1.14 | FP16 | perfect | — | — |
| Florence-2 Base | 230M | 1.65 | FP16 | perfect | est. 58 | |
| SAM 2 Hiera Large | 224M | 1.73 | FP16 | perfect | — | — |
| Grounding DINO Tiny | 172M | 1.46 | FP16 | perfect | — | — |
| RF-DETR Medium | 150M | 1.37 | FP16 | perfect | — | — |
| Nomic Embed Text v1.5 | 140M | 1.02 | FP16 | perfect | — | — |
| BGE Base EN v1.5 | 110M | 0.9 | FP16 | perfect | — | — |
| E5 Base v2 | 110M | 0.9 | FP16 | perfect | — | — |
| Snowflake Arctic Embed M | 110M | 0.9 | FP16 | perfect | — | — |
| SAM ViT-Base | 91M | 1.14 | FP16 | perfect | — | — |
| SAM 2 Hiera Base+ | 81M | 1.08 | FP16 | perfect | — | — |
| RF-DETR Small | 80M | 1.08 | FP16 | perfect | — | — |
Showing 32 of 106.
Search a model, then pick one. The table lists hardware that can run it.