Can the NVIDIA RTX 3080 10GB run Phi-3.5 Mini 3.8B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 3080 10GB can run Phi-3.5 Mini 3.8B fully in VRAM at Q8_0 (near-lossless), using about 7.9 GB of the 10 GB available, at roughly 112 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Phi-3.5 Mini 3.8B:
ollama run phi3.5:3.8bOllama's default download is Q4_K_M (about 6.1 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.
Run it in the cloud
No NVIDIA RTX 3080 10GB? Run Phi-3.5 Mini 3.8B in the cloud.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 10 GB the NVIDIA RTX 3080 10GB can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 11.5 GB | Too big | — | |
| Q8_0 | Near-lossless | 7.9 GB | Fits | ~112 tok/s | |
| Q6_K | Excellent | 7 GB | Fits | ~146 tok/s | |
| Q5_K_M | Very good | 6.5 GB | Fits | ~168 tok/s | |
| Q4_K_M | Good, most popular | 6.1 GB | Fits | ~197 tok/s | |
| Q3_K_M | Noticeably degraded | 5.7 GB | Fits | ~244 tok/s | |
| Q2_K | Heavily degraded | 5.3 GB | Fits | ~318 tok/s |
GPUs that run Phi-3.5 Mini 3.8B comfortably
Models that run well on the NVIDIA RTX 3080 10GB
Frequently asked questions
Can NVIDIA RTX 3080 10GB run Phi-3.5 Mini 3.8B?
Yes. The NVIDIA RTX 3080 10GB can run Phi-3.5 Mini 3.8B fully in VRAM at Q8_0 (near-lossless), using about 7.9 GB of the 10 GB available, at roughly 112 tokens/second.
How much VRAM does Phi-3.5 Mini 3.8B need?
About 6.1 GB at Q4_K_M with 8,192 tokens of context, and about 11.5 GB at full FP16 precision.
How fast is Phi-3.5 Mini 3.8B on the NVIDIA RTX 3080 10GB?
Roughly 112 tokens per second at Q8_0, estimated from the NVIDIA RTX 3080 10GB's 760 GB/s memory bandwidth.