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).

README.md

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+# 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](https://github.com/ggml-org/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.