stokiz/voxcpm2-gguf-runtime-cpu-portable

VoxCPM2 runtime payload

This private Kaggle dataset is generated by Phorcys.Tools.VoxCPM2RuntimeUploader for PHRunner.Kaggle.Service.VoxCPM2.

Runtime flavor: LinuxCpu Python tag: python3.10 Generated UTC: 2026-09-09T14:18:24.2697296+00:00

The dataset intentionally contains runtime artifacts, not model weights. Keep the official openbmb/VoxCPM2 checkpoint snapshot in a separate private Kaggle dataset, for example kaggle-pool-account/voxcpm2-python-models.

Top-level runtime directories are uploaded as .phzip files by default. This keeps the Kaggle dataset mutation deterministic with --dir-mode skip and avoids Kaggle auto-extracting ordinary .zip directories during dataset processing. The service kernel extracts the small runtime payload into /kaggle/working/phorcys_voxcpm2_runtime/<dataset-name> during first activation. VoxCPM.cpp shared libraries are archived as lib.phzip; uploading lib/ as an expanded folder is unsafe with --dir-mode skip because the official Kaggle CLI skips folders during dataset versioning. Experimental expanded-directory upload is available with --stage-opaque-archives false, but the .phzip mode remains the safer default for runtime because the virtual environment and vendor tree contain nested directory structures.

Kaggle-side activation example:

import sys
from pathlib import Path
# Try the current Kaggle direct mount first.
runtime_root = Path('/kaggle/input/voxcpm2-runtime')
if not runtime_root.exists():
    # Newer Kaggle notebooks may expose private datasets under /kaggle/input/datasets/<owner>/<slug>.
    runtime_root = Path('/kaggle/input/datasets/kaggle-pool-account/voxcpm2-runtime')
sys.path.insert(0, str(runtime_root))
import runtime_bootstrap
runtime_bootstrap.activate(runtime_root)

Run python <runtime-root>/verify_runtime.py inside a Kaggle notebook when diagnosing import failures. The generated service runner also has an API-download fallback when Kaggle accepts a data source but does not mount it under /kaggle/input.