vocence-mark-v1

Mark4004/vocence-mark-v1

vocence-mark-v1 is a machine learning model from Mark4004. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

HF snapshot layout for subnet netuid 78: checkpoint shards, config.json, Vocence miner.py entrypoint.

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At a glance

Model type: vocence-tts
Access: Public
Created: May 19, 2026
Updated: May 19, 2026
SHA: 195573f3

Model card

From the Hugging Face model README

vocence-mark-v1 — Vocence PromptTTS base bundle

HF snapshot layout for subnet netuid 78: checkpoint shards, config.json, Vocence miner.py entrypoint.

Layout (`snapshot_download` root)

Artifact	Purpose
`miner.py`	Vocence `Miner` engine (loads weights from this revision).
`chute_config.yml`	Builds image + clones your chosen Prompt-TTS warm runtime (`VOCENCE_PROMPT_RUNTIME`).
`vocence_config.yaml`	Device / limits / importer strip / backend selection.
`config.json`	Weight filenames + inference defaults (keep in sync if you rename tensors).
`vocence-dit-v1.safetensors`	DiT velocity shard (`files.transformer`).
`vocence-audio-components.safetensors`	Audio bundle shard (`files.audio_components`).
`assets/silence_latent_frame.pt`	Silence latent (`files.silence_latent`).
`WEIGHTS_MANIFEST.json`	Optional checksum manifest.

Chutes prerequisite

Set build secret VOCENCE_PROMPT_RUNTIME (HTTPS git clone URL) pointing to whichever LICENSE-compliant codebase your team vets that provides:

src/inference_server.py (TTSServer),
sibling directories src/ + ltx2/ + project requirements.txt.

vocence-mark-v1 weights follow Lightricks LTX-2 lineage (LICENSE). Your runtime checkout must legally match those terms.

Never commit personal tokens inside YAML.

Hugging Face secrets

Writable HF_HOME, HF_AUTH_TOKEN typically required for Gemma / text encoder fetches resolved by your runtime stack.

Extra env knobs

Variable	When
`VOCENCE_BACKEND`	`mock` forces silence (overrides `vocence_config.yaml` `engine.backend`) — smoke only. Remove in production miners.
`GEMMA_DIR`	Text encoder offline cache anchor if downloader supports it.
`LTX_FULL_CHECKPOINT`	If conditioners need a multimodal consolidated checkpoint besides `vocence-audio-components`—set explicitly.
`VOCENCE_VOICE_REF`	Optional WAV path for vocal reference conditioning (runtime-specific feature).

Publish (HF → Chutes → chain)

Orchestration lives one level up under vocence/tools/ — run verify_bundle → upload_hf_model → render_canonical_wrapper, then Chutes CLI and vocence miner commit. See DEPLOY.md.

Vocence importer + runtime path injection

Warm runtime code must be importable. vocence_config.yaml → inference_runtime.strip_vocence_sandbox_importer: true makes miner.py drop VocenceSandboxImporter from sys.meta_path before import inference_server (confirm subnet posture before shipping).

Install root default /opt/vocence-mark-v1-inference (wired in chute_config.yml + miner.py).

Miner contract

Matches MINER_GUIDE:

Miner.__init__(path_hf_repo)
warmup()
generate_wav(instruction, text) → (mono float32, sr) with 16000 ≤ sr ≤ 48000 and ≤ 30 s.

Integrity

From vocence/ checkout root:

python3 tools/verify_bundle.py
python3 tools/verify_bundle.py --model-root ./models/vocence-mark-v1

Licenses

Checkpoint licensing: Lightricks LTX-2 Community License (LICENSE in this folder). Third-party watermark deps (e.g. Perth) observe their respective licenses inside your image build.

Type: vocence-tts
Created: May 19, 2026
Updated: May 19, 2026