intern

Intern

A Rust tool that binary-searches for the optimal GPU layer count (-ngl) when running llama-server with a GGUF model, then launches the server with that configuration.

How it works

Tests different -ngl values (0..255) using binary search.
For each candidate:
  Spawns llama-server with that -ngl.
  Checks if it outputs the expected response.
Narrows down the highest valid -ngl.
Spawns the final llama-server with best_fit - 1 to stay safe.

Requirements

Rust (edition 2024)
llama-server in $PATH
GGUF model(s) under ~/guff_models

Build and run

Build:
  cargo build --release

Run:
  ./target/release/intern

CLI arguments

$ intern --help
Binary search for best NGL and start llama-server

Usage: intern [OPTIONS]

Options:
  -c, --ctx <CTX>          [default: 32]
  -t, --threads <THREADS>  [default: 32]
  -p, --port <PORT>        [default: 11434]
      --host <HOST>        [default: 0.0.0.0]
  -b, --batch <BATCH>      [default: 512]
  -u, --ubatch <UBATCH>    [default: 256]
  -v                       
  -h, --help               Print help

Model selection

The tool scans ~/guff_models for .gguf files.
Lists them as:
  a) model1.gguf
  b) model2.gguf
  ...
Prompts for a letter to select.

Behavior notes

During binary search:
  Each test run's stdout/stderr is discarded.
  Results are printed to stderr as:
    <ngl> [ok] or <ngl> [fail]

Final server:
  Runs until interrupted (Ctrl+C).
  Use --verbose to see its logs.

Credits

This project was built using vibecoding with Qwen 3.6 quantized (served locally), in conjunction with opencode.