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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.

Fuentehuggingface.co/unslothai/whisper-large-v3-GGUF/tree/7936f98dd65c1d1ae75948911cdcee6b0fa717cb
TipoOtherModelo baseunslothai/whisper-large-v3VersiónWhisper large v3Ccalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
2,88 GB
Modelo base
unslothai/whisper-large-v3
Versión
vWhisper large v3
Actualizado
26 oct 2026
Fuente
Hugging Face

Descripción de la fuente

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.

Fuentes

1 fuente
Hugging FacePrincipalVersión 7936f98dd65c1d1ae75948911cdcee6b0fa717cb
huggingface.co/unslothai/whisper-large-v3-GGUF/tree/7936f98dd65c1d1ae75948911cdcee6b0fa717cb

Verificado 26 oct

Artefactos del modelo

1 artefacto

whisper-large-v3.bin

bin · 2,88 GB · SHA-256 e4fb6f478cfe…be01 · Hugging Face

Download file

Extractos de fuentes

2 extractos
Readme7 agohuggingface.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.

Note7 agohuggingface.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