---

base_model: unslothai/whisper-large-v3-turbo

license: apache-2.0

library_name: whisper.cpp

pipeline_tag: automatic-speech-recognition

tags:

• whisper
• whisper.cpp
• ggml
• f16
• unsloth-studio
• unsloth

---

Whisper Large v3 Turbo F16 for Unsloth Studio

Run high-quality, fully local speech-to-text dictation in Unsloth Studio. Whisper Large v3 Turbo offers the strongest speed and accuracy balance in the default Whisper lineup and is the recommended choice for capable hardware.

Run in Unsloth Studio

1. Install or update Unsloth Studio.
2. Open Settings > Voice.
3. Open the local dictation model picker and select Whisper Large v3 Turbo.
4. Let Studio download and cache the model.
5. Use the microphone button in the chat composer to dictate locally.

The model runs on your device through whisper.cpp. Your recorded audio does not need to be sent to a hosted transcription service.

Model file

• whisper-large-v3-turbo.bin: native F16 model for whisper.cpp
• Download size: approximately 1.62 GB
• Best for: the recommended balance of high accuracy and fast transcription

whisper.cpp uses a custom GGML binary format for Whisper. The model file is therefore named .bin, not .gguf, even though this repository follows the common -GGUF repository naming convention.

No low-bit quantization was applied. Matrix weights are stored as F16, while tensors that whisper.cpp requires in F32 remain F32.

Manual whisper.cpp usage

whisper-cli -m whisper-large-v3-turbo.bin -f audio.wav

Integrity

• Source model.safetensors SHA-256: 542566a422ae4f3fd23f1ba11add198fca01bbf82e66e6a2857b3f608b1eb9d1
• Converted model SHA-256: 0dc8bab01bd6b0ab68e8ebb607bf3c960ff1bc136644a23b3ad59f7c00e78d09
• Conversion tool: ggml-org/whisper.cpp commit 080bbbe85230f624f0b52127f1ae1218247989f9

The converted model was loaded by whisper.cpp and passed an end-to-end transcription test.