Can the NVIDIA RTX 3080 10GB run Mixtral 8x7B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
No. Even at Q4_K_M, Mixtral 8x7B needs about 30 GB, but the NVIDIA RTX 3080 10GB has 10 GB usable. You could offload some layers to system RAM, but it will be very slow.
Run it on a rented GPU
On a cloud GPU with enough memory, the same command you'd use locally works:
ollama run mixtral:8x7bAt Q4_K_M it needs about 30 GB, so pick a GPU with at least 32 GB.
Run it in the cloud
Too big for the NVIDIA RTX 3080 10GB? Run Mixtral 8x7B on a rented GPU instead.
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 | 95.1 GB | Too big | — | |
| Q8_0 | Near-lossless | 51.3 GB | Too big | — | |
| Q6_K | Excellent | 40 GB | Too big | — | |
| Q5_K_M | Very good | 34.9 GB | Too big | — | |
| Q4_K_M | Good, most popular | 30 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 24.5 GB | Too big | — | |
| Q2_K | Heavily degraded | 19.2 GB | Too big | — |
GPUs that run Mixtral 8x7B comfortably
Models that run well on the NVIDIA RTX 3080 10GB
Frequently asked questions
Can NVIDIA RTX 3080 10GB run Mixtral 8x7B?
No. Even at Q4_K_M, Mixtral 8x7B needs about 30 GB, but the NVIDIA RTX 3080 10GB has 10 GB usable. You could offload some layers to system RAM, but it will be very slow.
How much VRAM does Mixtral 8x7B need?
About 30 GB at Q4_K_M with 8,192 tokens of context, and about 95.1 GB at full FP16 precision.
How fast is Mixtral 8x7B on the NVIDIA RTX 3080 10GB?
It does not fit in the NVIDIA RTX 3080 10GB's memory, so most layers would run from system RAM and generation would be very slow.