§01·spec · /gpus
RTX 5080
nvidia50 series16GB VRAM
44 open-weights AI models run on the RTX 5080 — see which fit, how fast they go, and the VRAM each needs.
§02·models that run on this GPU
44 totalLLM · 7
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| gpt-oss 20B | 172.4tokens/s | 16GB | ✓ | 2benchesrecipe | check ↗ |
| Qwen3-8B | 129.1tokens/s | 16GB | ✓ | 2benchesrecipe | check ↗ |
| Qwen3 14B | 80.6tokens/s | 16GB | ✓ | 2benchesrecipe | check ↗ |
| Llama 3.1 8B | 10GB | ✓ | recipe | check ↗ | |
| Nanbeige4.2 3B | 16GB | ✓ | recipe | check ↗ | |
| Ornith 1.0 9B | 12GB | ✓ | recipe | check ↗ | |
| Nemotron Elastic 12B (NVFP4) | ✓ | 1bench | check ↗ |
- Best speed
- 172.4tokens/s
- Min VRAM
- 16GB
- Evidence
- 2benchesrecipe
- Best speed
- 129.1tokens/s
- Min VRAM
- 16GB
- Evidence
- 2benchesrecipe
- Best speed
- 80.6tokens/s
- Min VRAM
- 16GB
- Evidence
- 2benchesrecipe
- Best speed
- Min VRAM
- 10GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 16GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 12GB
- Evidence
- recipe
- Best speed
- Min VRAM
- Evidence
- 1bench
Multimodal · 7
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Fara1.5-4B | 16GB | ✓ | recipe | check ↗ | |
| Fara1.5-9B | 16GB | ✓ | recipe | check ↗ | |
| Gemma 4 E4B-IT | 6GB | ✓ | recipe | check ↗ | |
| MiniMind-O | 4GB | ✓ | recipe | check ↗ | |
| MOSS-Audio | 12GB | ✓ | recipe | check ↗ | |
| Qwen3.8 27B | 16GB | ✓ | recipe | check ↗ | |
| Voxtral Mini 3B | 10GB | ✓ | recipe | check ↗ |
Image · 11
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Anima | 7GB | ✓ | recipe | check ↗ | |
| Chroma V48 | 14GB | ✓ | recipe | check ↗ | |
| ERNIE-Image-Turbo | 12GB | ✓ | recipe | check ↗ | |
| Flux.2-Klein-4B | 13GB | ✓ | recipe | check ↗ | |
| HiDream-O1-Image | 10GB | ✓ | recipe | check ↗ | |
| Juggernaut Z | 16GB | ✓ | recipe | check ↗ | |
| Krea 2 | 16GB | ✓ | recipe | check ↗ | |
| LongCat Image | 16GB | ✓ | recipe | check ↗ | |
| Qwen-Image | 13GB | ✓ | recipe | check ↗ | |
| SenseNova U1 | 12GB | ✓ | recipe | check ↗ | |
| Z-Image Turbo | 16GB | ✓ | recipe | check ↗ |
- Best speed
- Min VRAM
- 7GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 14GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 12GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 13GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 10GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 16GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 16GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 16GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 13GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 12GB
- Evidence
- recipe
- Best speed
- Min VRAM
- 16GB
- Evidence
- recipe
Video · 6
3D · 3
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Hunyuan3D | 10GB | ✓ | recipe | check ↗ | |
| TRELLIS image-large | 16GB | ✓ | recipe | check ↗ | |
| Waypoint 1.5 | 12GB | ✓ | recipe | check ↗ |
TTS · 6
Music · 2
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| ACE-Step 1.5 XL | 12GB | ✓ | recipe | check ↗ | |
| Foundation-1 | 8GB | ✓ | recipe | check ↗ |
§03·tested recipes
showing 6 of 43- multimodaladvanced16GB+recipe
Qwen3.8-27B on RTX 5080: a vision-capable 27B inside 16 GB with llama.cpp
- videoadvanced16GB+recipe
LTX-2.5 on RTX 5080: 22B audio-video in 16 GB, and what the wider bus cannot buy
- llmintermediate16GB+recipe
Nanbeige4.2-3B on RTX 5080: the fastest 16 GB card stops at the same context
- videoadvanced12GB+recipe
MiniMax H3 on RTX 5080: 16 GB, and what the extra silicon cannot buy
- multimodaladvanced16GB+recipe
Fara1.5-9B on RTX 5080: a Q8_0 Computer-Use Agent on Blackwell sm_120
- multimodaladvanced16GB+recipe
Fara1.5-4B on RTX 5080: bf16 Weights and mmproj Vision, No Quantisation Step