I got this running locally using llama.cpp from Homebrew and the Unsloth quantized model like this:

  brew upgrade llama.cpp # or brew install if you don't have it yet

Then:

  llama-cli \
    -hf unsloth/Qwen3-Coder-Next-GGUF:UD-Q4_K_XL \
    --fit on \
    --seed 3407 \
    --temp 1.0 \
    --top-p 0.95 \
    --min-p 0.01 \
    --top-k 40 \
    --jinja

That opened a CLI interface. For a web UI on port 8080 along with an OpenAI chat completions compatible endpoint do this:

  llama-server \
    -hf unsloth/Qwen3-Coder-Next-GGUF:UD-Q4_K_XL \
    --fit on \
    --seed 3407 \
    --temp 1.0 \
    --top-p 0.95 \
    --min-p 0.01 \
    --top-k 40 \
    --jinja

It's using about 28GB of RAM.

▲ nubg 3 hours ago | parent | next [-]

what's the token per seconds speed?

▲ technotony 3 hours ago | parent | prev [-]

what are your impressions?

	▲	simonw an hour ago \| parent [-]
		I got Codex CLI running against it and was sadly very unimpressed - it got stuck in a loop running "ls" for some reason when I asked it to create a new file.