Files
voice-bench/README.md
Joey Grasty 9889814e37 Add Voice Bench: SFT package browser + model launch script
Self-contained browser tool for exploring the Vox Day / Nuttall SFT
packages and generating scenes against the joint CPT+SFT model, plus a
portable launch script (start-model.sh) and setup README for running
the model server on a fresh machine (DGX Spark or CUDA/L40 box).
2026-08-30 10:01:49 -05:00

3.0 KiB

Voice Bench

A browser tool for exploring the Vox Day / Christopher Nuttall SFT packages and generating scenes from them against the joint CPT+SFT model, including a STYLE-swap control for testing voice conditioning across authors.

What's here

  • voice-bench.html — the tool itself. It's a single self-contained file with no install step: open it in a browser (double-click it, or File > Open). It needs no server of its own — it just needs a model server to talk to (see below).
  • start-model.sh — starts the model server (llama-server, from llama.cpp) that voice-bench.html sends generation requests to.

The 208 training/holdout packages themselves are already embedded inside voice-bench.html — nothing else needs downloading for browsing.

One-time setup (per machine)

1. Get the model file

Download Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep2-Q8_0.gguf (~31GB) from the team Google Drive.

Memory needed: ~31GB for the weights plus ~3GB of KV cache at the full 32768-token context, so ~35GB total. Confirmed working on a DGX Spark; should comfortably fit a 48GB L40 as well. If a machine has less than that, lower CTX_SIZE (below) before anything else.

2. Build llama.cpp with CUDA support

Needs an NVIDIA GPU with the CUDA toolkit and cmake already installed.

git clone https://github.com/ggml-org/llama.cpp
cd llama.cpp
cmake -B build -DGGML_CUDA=ON
cmake --build build --config Release -j

This produces llama.cpp/build/bin/llama-server, which is what start-model.sh runs.

3. Start the model server

MODEL_PATH=/path/to/Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep2-Q8_0.gguf \
LLAMA_SERVER=/path/to/llama.cpp/build/bin/llama-server \
./start-model.sh

Leave this running in a terminal — it's the process voice-bench.html talks to. If you'd rather not set environment variables every time, edit the defaults at the top of start-model.sh instead.

4. Open voice-bench.html

Open the file in a browser. The "Server" field in the top-right corner defaults to http://127.0.0.1:8200, which is correct if the model server is running on the same machine as the browser. If it's running on a different machine on your network, change it to that machine's address instead, e.g. http://192.168.1.50:8200 — and make sure that machine's firewall allows inbound connections on the port (sudo ufw allow from <your-subnet> to any port 8200 proto tcp on Ubuntu).

Troubleshooting

  • "SERVER UNREACHABLE" in the page header — the model server isn't running yet, is still loading the model (can take a minute for a 31GB file), or the Server field points at the wrong address/port.
  • Out of memory when starting the server — re-run with a smaller context, e.g. CTX_SIZE=8192 ./start-model.sh.
  • Opening the HTML file from a typed path does something odd in Firefox — use File > Open (Ctrl+O) instead of typing the path into the address bar, or paste the full file:///home/you/path/voice-bench.html URL.