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unslothai/
whisper-large-v3-GGUF

Name: whisper-large-v3-GGUF
Availability: InStock

automatic-speech-recognition

unslothai/whisper-large-v3

finetune

apache-2.0

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Whisper Large v3 F16 for Unsloth Studio

Run maximum-quality, fully local speech-to-text dictation in Unsloth Studio. Whisper Large v3 is the most accurate option in the default Whisper lineup when transcription quality matters more than download size or speed.

Run in Unsloth Studio

Install or update Unsloth Studio.
Open Settings > Voice.
Open the local dictation model picker and select Whisper Large v3.
Let Studio download and cache the model.
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.bin: native F16 model for whisper.cpp
Download size: approximately 3.1 GB
Best for: highest transcription quality on capable hardware

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.bin -f audio.wav

Integrity

Source model.safetensors SHA-256: a8e94b85976e5864ba3e9525c7e6c83b2a1eca42d4b797a0c7c24d778e40fd95
Converted model SHA-256: e4fb6f478cfec2e2bbd4b271654338b08492550bbf221361a29d890bc22fbe01
Conversion tool: ggml-org/whisper.cpp commit 080bbbe85230f624f0b52127f1ae1218247989f9

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

unslothai/whisper-large-v3-GGUF