Llama.cpp

My Setup

services:
  llama-server:
    image: ghcr.io/ggml-org/llama.cpp:server-cuda
    restart: unless-stopped
    volumes:
      - ./models:/models:ro
    ports:
      - 127.0.0.1:4010:80
    environment:
      - LLAMA_ARG_MODELS_PRESET=/models/presets.ini
      - LLAMA_ARG_MODELS_MAX=3
      - LLAMA_ARG_HOST=0.0.0.0
      - LLAMA_ARG_PORT=80
      - LLAMA_ARG_FIT=off
    command: --keep 1024
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [ gpu ]

version = 1

[Qwen 3 VL]
model = /models/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated.Q4_K_M.gguf
mmproj = /models/Qwen3-VL-30B-A3B-Instruct-Q4_K_M.mmproj-BF16.gguf
ctx-size = 8192
cache-type-k = q8_0
cache-type-v = q8_0
flash-attn = on
cpu-moe = on
no-kv-offload = on

[Qwen 2.5 Coder]
model = /models/Qwen2.5-Coder-3B-Q4_K_M.gguf
ctx-size = 8192
cache-type-k = q8_0
cache-type-v = q8_0
flash-attn = on
no-kv-offload = on

[Gemma 2 Blackout]
model = /models/G2-9B-Blackout-R1-Q4_K_M.gguf
ctx-size = 8192
cache-type-k = q8_0
cache-type-v = q8_0
flash-attn = on
n-gpu-layers = 32
no-kv-offload = on

Optimization Tips

No KV Offload

no-kv-offload works surprisingly well! Doesn't come with much performance loss in my experience (Qwen 2.5 Coder 3B still works fast enough), and frees up VRAM for more models.

Don't mix K and V Quant Types

For me at least, mixing different K and V quant types made prompt processing much slower. An acquaintance suggested the two kernels might have overflowed some sort of cache?

Don't use Flash Attention with Gemma 3

Once again, prompt processing speed suffers.

There's no need to Offload Experts to the GPU

I am able to run Qwen 3 VL 30B A3B (30B params in total, 3B dense) rather well on my 12GB VRAM GPU (16 tokens per second). The trick is to use cpu-moe, which keeps the dense layers in the GPU (the 3B) while only loading in experts when needed. You can also use n-cpu-moe to choose exactly how many layers of experts should stay in VRAM. However, I found that even with all the layers of experts out of the VRAM, it was still fast enough.

Try Disabling Mmap

Are your models loading slowly from disk? Try disabling mmap (LLAMA_ARG_MMAP=off)! Depending on your situation, this may or may not speed up loading. It did for me, though.