Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

whisper-tiny-it-yodas-only-ct2-int8 – AI Model by LocalAI-io | AlphaNeural AI

You can deploy this model and start earning money today!

LocalAI-io/
whisper-tiny-it-yodas-only-ct2-int8

like

0

automatic-speech-recognition

mozilla-foundation/common_voice_25_0

openai/whisper-tiny

Views

No views yet

whisper-tiny-it-yodas-only-ct2-int8

CTranslate2 INT8 quantized version of LocalAI-io/whisper-tiny-it-yodas-only for fast CPU inference.

Author: Ettore Di Giacinto

Brought to you by the LocalAI team. This model can be used directly with LocalAI.

Training

Base model: openai/whisper-tiny, fine-tuned on YODAS-Granary Italian (asr_only + ast capped at 200000)
Quantization: INT8 via CTranslate2

Usage

faster-whisper

python

from faster_whisper import WhisperModel

model = WhisperModel("LocalAI-io/whisper-tiny-it-yodas-only-ct2-int8", device="cpu", compute_type="int8")
segments, info = model.transcribe("audio.mp3", language="it")
for segment in segments:
    print(f"[{segment.start:.1f}s - {segment.end:.1f}s] {segment.text}")

WhisperX

python

import whisperx

model = whisperx.load_model("LocalAI-io/whisper-tiny-it-yodas-only-ct2-int8", device="cpu", compute_type="int8")
result = model.transcribe("audio.mp3", language="it")

Links

HF Safetensors: LocalAI-io/whisper-tiny-it-yodas-only
Code: github.com/mudler/italian-asr
LocalAI: github.com/mudler/LocalAI