Error: DriverError(CUDA_ERROR_OUT_OF_MEMORY, "out of memory") with multiple GPU

I have: 4x RTX 3080 = 40GB total memory (each GPU by 10 GB memory)

I try to load model Mistral 7 about 15Gb file.

But I take error:

```
root@C.10529376:~/ai-server$ cargo run
Finished dev [unoptimized + debuginfo] target(s) in 0.20s
Running `target/debug/ai-server`
retrieved the files in 27.070873ms
Error: DriverError(CUDA_ERROR_OUT_OF_MEMORY, "out of memory")
```

Is it possible to run on multiple GPU mode?

The report names only cargo run and a Mistral 7 model; no source file or test is identified. Start by locating the model-loading path and GPU-device handling, then reproduce the CUDA out-of-memory failure and establish whether multi-GPU execution is supported or what implementation scope would be required.

Written by the indexing model from the issue text.