InternVL3-8B
1recorded run
79.9best tok/s
0verified
What the InternVL3-8B numbers mean
The fastest result on our board is 79.9 output tok/s on an RTX 3060 Ti at Q4_K_M with a 512-token context. That is about 12.5 ms per generated token — 500 tokens takes roughly 6.3 seconds. Prompt processing on the same record runs at 2963.5 tok/s, so a 2,000-token prompt is read in about 0.7 seconds. Peak VRAM was measured at 6.7 GB.
How much VRAM does InternVL3-8B need?
InternVL3-8B has 8.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 6.0 GB | 8 GB |
| Q8_0 (8-bit) | 10.6 GB | 16 GB |
| FP16 (16-bit) | 19.2 GB | 24 GB |
Fastest GPUs for this model (best tok/s)
- RTX 3060 Ti79.9
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| AceReason-Nemotron-1.1-7B | 8B | 4.5 GB |
| DeepSeek-R1-0528-Qwen3-8B | 8B | 4.5 GB |
| DeepSeek-R1-Distill-Qwen-7B | 8B | 4.5 GB |
| gemma-4-E4B-it | 8B | 4.5 GB |
| granite-4.2-8b | 8B | 4.5 GB |
| LFM2-8B-A1B | 8B | 4.5 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX 3060 Ti · 8 GB | InternVL3-8B | Q4_K_M | llama.cpp — | 512 | 79.9 … | 2963.5 | 6.7 | src |