Whisper Tiny GGUF

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-tiny.bin: native F16 model for whisper.cpp
• Download size: approximately 78 MB
• Best for: fastest startup, lowest memory use, and short dictation

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-tiny.bin -f audio.wav

Integrity

• Source model.safetensors SHA-256: 7ebd0e69e78190ffe1438491fa05cc1f5c1aa3a4c4db3bc1723adbb551ea2395
• Converted model SHA-256: bf4711d269a0c0bc7d8411fc2d78d4c6727a215406da46c42975e15684b01746
• Conversion tool: ggml-org/whisper.cpp commit 080bbbe85230f624f0b52127f1ae1218247989f9

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

--- base_model: unslothai/whisper-tiny license: apache-2.0 library_name: whisper.cpp pipeline_tag: automatic-speech-recognition tags: - whisper - whisper.cpp - ggml - f16 - unsloth-studio - unsloth --- # Whisper Tiny F16 for Unsloth Studio Run fast, fully local speech-to-text dictation in [Unsloth Studio](https://unsloth.ai/docs). Whisper Tiny has the lowest download size and memory use in the default Whisper lineup, making it the fastest option for short everyday dictation. ## 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 Tiny**. 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-tiny.bin`: native F16 model for `whisper.cpp` - Download size: approximately 78 MB - Best for: fastest startup, lowest memory use, and short dictation `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-tiny.bin -f audio.wav ``` ## Integrity - Source `model.safetensors` SHA-256: `7ebd0e69e78190ffe1438491fa05cc1f5c1aa3a4c4db3bc1723adbb551ea2395` - Converted model SHA-256: `bf4711d269a0c0bc7d8411fc2d78d4c6727a215406da46c42975e15684b01746` - Conversion tool: `ggml-org/whisper.cpp` commit `080bbbe85230f624f0b52127f1ae1218247989f9` The converted model was loaded by `whisper.cpp` and passed an end-to-end transcription test.