q-pocket-tts

HOLOGRAMTECH/q-pocket-tts

q-pocket-tts is a text-to-speech model from HOLOGRAMTECH. Use it when you need text read aloud. The card lists the license as cc-by-4.0.

TTS by Kyutai. A 100M-parameter CPU text-to-speech model, re-hosted as a content-addressed κ-object for the Hologram serverless substrate so the Bonsai demo can speak its answers as it writes them — 100% in the browse…

Downloads · 30 days

Access

Public

Updated Jul 16, 2026

Repo size

240 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.onnx125 MB · 51%

At a glance

Task: Text-to-Speech
License: cc-by-4.0
Access: Public
Created: Jul 16, 2026
Updated: Jul 16, 2026
SHA: f006339c

Base models

kyutai/pocket-tts

Model card

From the Hugging Face model README

q-pocket-tts — Pocket TTS as a κ-object (real-time voice, in your browser, no server)

TTS by Kyutai. A 100M-parameter CPU text-to-speech model, re-hosted as a content-addressed κ-object for the Hologram serverless substrate so the Bonsai demo can speak its answers as it writes them — 100% in the browser, on the CPU, leaving the GPU to the mind.

This is the int8 ONNX decode graph (community export by KevinAHM) plus one voice (alba, Kyutai's default), run with onnxruntime-web 1.20.0 (WASM/SIMD). No account, no data leaves the device; warm after one visit.

What's here

Each file is gzipped and stored as a content-addressed block b/sha256_<hex>.gz; the manifest lists them. Every block is verified against its content address before it is decompressed (Law L5).

role	file	what it is
`flow_lm_main`	flow_lm_main_int8.onnx	the streaming flow-LM backbone (autoregressive latents)
`flow_lm_flow`	flow_lm_flow_int8.onnx	the stateless flow-matching step
`text_conditioner`	text_conditioner_int8.onnx	text → conditioning embeddings
`mimi_decoder`	mimi_decoder_int8.onnx	Mimi codec decoder → 24 kHz PCM
`tokenizer`	tokenizer.model	SentencePiece tokenizer
`bos_before_voice`	bos_before_voice.npy	BOS conditioning prefix
`bundle`	bundle.json	runtime metadata (state manifests, sample rate)
`voice`	voice.alba.bin	ONE voice state (PTVB1, single voice) — extracted from the 8-voice `voices.bin`

manifest.json (sha256 transport axis) + manifest.blake3.json + sha256-to-blake3.map.json (canonical BLAKE3 κ axis). Any static host can serve this — the bytes carry identity, not the host.

Pins

manifest κ (pin): did:holo:sha256:fb8d982d3a37f845915358928f985b83339dd198b45b6f6a705bdc8145b1afd7
root κ (over the sorted block set): sha256:a4c11cfbef09c5b30dc97733c11ec21e2573c3adc467fcf4409c06b44d6f41d4
voice: alba · language english_2026-04 · 24 kHz · latent dim 32

Payload

131.7 MB raw → 75.7 MB stored (gzip), 8 blocks. Decode graph only — the voice-cloning encoder is omitted (a non-goal). One voice ships; swapping the voice is a one-file re-mint.

Measured (browser, 2026-07-16)

Chrome / WASM-SIMD, 24-core desktop: first sound 332 ms on a short clause single-threaded (1.07× realtime); 313 ms and 1.39× with threads (cross-origin isolation). Real speech, 24 kHz. Running concurrently with Bonsai-8B on WebGPU costs ~20% of decode throughput (CPU-orchestration, not GPU contention) — still real-time.

Provenance

Model + voices: Kyutai Pocket TTS — kyutai/pocket-tts (weights CC-BY-4.0), voices from kyutai/tts-voices.
ONNX export: KevinAHM/pocket-tts-onnx (export scripts Apache-2.0); upstream Pocket TTS code is MIT.
Runtime worker: adapted from the KevinAHM/pocket-tts-web demo space.
κ-mint: holo-bonsai/mint-pocket-tts.mjs (gzip each opaque blob → sha256(gz) = block address; root = sha256 over the sorted name:kappa set) + forge/gen-blake3-manifest.mjs (BLAKE3 axis). No tensor re-layout — the ONNX graphs pass through byte-exact.

See LICENSE (CC-BY-4.0) and NOTICE.txt.

Task: Text-to-Speech
License: cc-by-4.0
Created: Jul 16, 2026
Updated: Jul 16, 2026