Pomni/whisper-tiny.en-ggml-allquants

Whisper-Tiny.en quants

This is a repository of GGML quants for [whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en), for use with whisper.cpp.

If you are looking for a program to run this model with, then I would recommend EasyWhisper UI, as it is user-friendly, has a GUI, and will automate a lot of the hard stuff for you.

List of Quants

Clicking on a link will download the corresponding quant instantly. | Link | Quant | Size | Notes |:-----|:-----|--------:|:------| | GGML | F32 | 152 MB | Likely overkill. | | GGML | F16 | 77.7 MB | Performs better than Q80 for noisy audio and music. | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q80.bin) | Q80 | 43.6 MB | Sweet spot; superficial quality loss at nearly double the speed. | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q6k.bin) | Q6K | 34.7 MB | | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q5k.bin) | Q5K | 29.9 MB | | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q51.bin) | Q51 | 32.2 MB | | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q50.bin) | Q50 | 29.9 MB | Last "good" quant; anything below loses quality rapidly. | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q4k.bin) | Q4K | 25.3 MB | *Might* not have lost too much quality, but I'm not sure. | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q41.bin) | Q41 | 27.6 MB | | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q40.bin) | Q40 | 25.3 MB | | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q3k.bin) | Q3K | 20.5 MB | | | [GGML](https://huggingface.co/Pomni/whisper-tiny.en-ggml-allquants/resolve/main/ggml-tiny.en-q2k.bin) | Q2_K | 16.8 MB | Completely non-sensical outputs. |

The F16 quant was taken from ggerganov/whisper.cpp/ggml-tiny.en.bin.

Questions you may have

Why do the "K-quants" not work for me?

My guess is that your GPU might be too old to recognize them, considering that I have gotten the same error on my GTX 1080. If you would like to run them regardless, you can try switching to CPU inference.

Are the K-quants "S", "M", or "L"?

The quantizer I was using was not specific about this, so I do not know about this either.

What program did you use to make these quants?

I used whisper.cpp v1.7.6 on Windows x64, leveraging CUDA 12.4.0. For the F32 quant, I converted the original Hugging Face (H5) format model to a GGML using the models/convert-h5-to-ggml.py script.

One or multiple of the quants are not working for me.

Open a new discussion in the community tab about this, and I will look into the issue.