FreeLLMGPUs › NVIDIA
Best free AI models for the RTX 4080 Super
RTX 4080 Super: 16 GB of video memory, 736 GB/s. These are the free models it runs, ranked by Arena votes, with the speed you can expect.
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Bigger models with help from 64 GB of system RAM
Part of the model sits in system memory, which is much slower than video memory.
| Model | Arena score | Size | 4-bit file | Tokens/s |
|---|---|---|---|---|
| Gemma 4 31B |
1443 | 31.3 B | 20 GB | 9.7 |
| Qwen3.8-27B alibaba |
1441 | 27.8 B | 18 GB | 19 |
| Gemma 4 26B A4B google · MoE, 4 B active |
1434 | 25.8 B | 17 GB | 107 |
| Qwen3.5-27B alibaba |
1409 | 27.8 B | 18 GB | 19 |
| gemma-3-27b-it |
1358 | 27.4 B | 18 GB | 17 |
Popular small models
Official small models with no Arena votes yet, ordered by downloads on Hugging Face (popularity, not quality).
| Model | Downloads/month | Size | 4-bit file | Tokens/s |
|---|---|---|---|---|
| Qwen3-0.6B Qwen |
29.5M | 0.8 B | 1.7 GB | 287 |
| Qwen3-4B Qwen |
11.8M | 4 B | 3.6 GB | 136 |
| Qwen3-8B Qwen |
8.9M | 8.2 B | 6.2 GB | 85 |
| Qwen3-14B Qwen |
8.4M | 14.8 B | 10 GB | 53 |
| Qwen3.5-4B Qwen |
7.8M | 4.7 B | 4.0 GB | 156 |
| Qwen3.5-9B Qwen |
7.5M | 9.7 B | 7.1 GB | 85 |
Estimates at 4-bit (Q4_K_M) with an 8K context, calibrated on 44 real llama.cpp tests (typical error about ±10%). Tokens per second: about 10 is reading speed. As an Amazon Associate, FreeLLMArena earns from qualifying purchases; the links do not change the rankings.
Questions
What is the best free AI model for the RTX 4080 Super?
No voted model fits entirely in 16 GB at 4-bit. Small models without Arena votes do, and larger ones run with help from system RAM, more slowly.
How big a model can the RTX 4080 Super run?
About 23 billion parameters for a dense model at 4-bit with an 8K context, fully on the GPU. Mixture-of-experts models can be bigger, and with 64 GB of system RAM larger models still run, more slowly.
Is the RTX 4080 Super good for local LLMs?
It has 16 GB of memory and 736 GB/s of bandwidth. Memory decides which models fit; bandwidth decides how fast they write. With 16 GB it runs models up to about 20 B fully on the GPU; 27–32 B models need help from system RAM.
Similar cards
- RTX 5080 16 GB · 960 GB/s
- RTX 5070 Ti 16 GB · 896 GB/s
- RTX 4070 Ti Super 16 GB · 672 GB/s
- RX 9070 / 9070 XT 16 GB · 640 GB/s
- RX 7800 XT 16 GB · 624 GB/s
- RTX 5060 Ti 16 GB 16 GB · 448 GB/s