Can the NVIDIA RTX 3080 10GB run Llama 3.2 3B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 3080 10GB can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 10 GB available, at roughly 71 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Llama 3.2 3B:
ollama run llama3.2:3bOllama's default download is Q4_K_M (about 3.5 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.
Run it in the cloud
No NVIDIA RTX 3080 10GB? Run Llama 3.2 3B 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 | 8 GB | Fits | ~71 tok/s | |
| Q8_0 | Near-lossless | 5 GB | Fits | ~134 tok/s | |
| Q6_K | Excellent | 4.2 GB | Fits | ~173 tok/s | |
| Q5_K_M | Very good | 3.8 GB | Fits | ~200 tok/s | |
| Q4_K_M | Good, most popular | 3.5 GB | Fits | ~234 tok/s | |
| Q3_K_M | Noticeably degraded | 3.1 GB | Fits | ~291 tok/s | |
| Q2_K | Heavily degraded | 2.7 GB | Fits | ~379 tok/s |
GPUs that run Llama 3.2 3B comfortably
Models that run well on the NVIDIA RTX 3080 10GB
Frequently asked questions
Can NVIDIA RTX 3080 10GB run Llama 3.2 3B?
Yes. The NVIDIA RTX 3080 10GB can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 10 GB available, at roughly 71 tokens/second.
How much VRAM does Llama 3.2 3B need?
About 3.5 GB at Q4_K_M with 8,192 tokens of context, and about 8 GB at full FP16 precision.
How fast is Llama 3.2 3B on the NVIDIA RTX 3080 10GB?
Roughly 71 tokens per second at FP16, estimated from the NVIDIA RTX 3080 10GB's 760 GB/s memory bandwidth.