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Whisper Large v3 GGUF

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.

Sourcehuggingface.co/unslothai/whisper-large-v3-GGUF/tree/7936f98dd65c1d1ae75948911cdcee6b0fa717cb
KindOtherBase modelunslothai/whisper-large-v3VersionWhisper large v3Cgrade

Model source

Kind
Other
File size
2.88 GB
Base model
unslothai/whisper-large-v3
Version
vWhisper large v3
Updated
Oct 26, 2026
Source
Hugging Face

Source description

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

  1. Install or update Unsloth Studio.
  2. Open Settings > Voice.
  3. Open the local dictation model picker and select Whisper Large v3.
  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.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.

Sources

1 source
Hugging FacePrimaryVersion 7936f98dd65c1d1ae75948911cdcee6b0fa717cb
huggingface.co/unslothai/whisper-large-v3-GGUF/tree/7936f98dd65c1d1ae75948911cdcee6b0fa717cb

Verified Oct 26

Model artifacts

1 artifact

whisper-large-v3.bin

bin · 2.88 GB · SHA-256 e4fb6f478cfe…be01 · Hugging Face

Download file

Source excerpts

2 excerpts
ReadmeAug 7huggingface.co/unslothai/whisper-large-v3-GGUF

--- base_model: unslothai/whisper-large-v3 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 F16 for Unsloth Studio Run maximum-quality, fully local speech-to-text dictation in [Unsloth Studio](https://unsloth.ai/docs). 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 1. Install or update [Unsloth Studio](https://unsloth.ai/docs). 2. Open **Settings > Voice**. 3. Open the local dictation model picker and select **Whisper Large v3**. 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.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 ```bash 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.

NoteAug 7huggingface.co/unslothai/whisper-large-v3-GGUF

Source context: 0 downloads · 0 likes · Pipeline automatic-speech-recognition · Library whisper.cpp · Repo unslothai/whisper-large-v3-GGUF