Whisper-Bemba-STT quants
This is a repository of GGML quants for whisper-bemba-stt, 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 | 968 MB | Likely overkill. |
| GGML | F16 | 488 MB | Performs better than Q8_0 for noisy audio and music. |
| GGML | Q8_0 | 264 MB | Sweet spot; superficial quality loss at nearly double the speed. |
| GGML | Q6_K | 207 MB | |
| GGML | Q5_K | 175 MB | |
| GGML | Q5_1 | 190 MB | |
| GGML | Q5_0 | 175 MB | Last "good" quant; anything below loses quality rapidly. |
| GGML | Q4_K | 145 MB | Might not have lost too much quality, but I'm not sure. |
| GGML | Q4_1 | 160 MB | |
| GGML | Q4_0 | 145 MB | |
| GGML | Q3_K | 114 MB | |
| GGML | Q2_K | 89.7 MB | Completely non-sensical outputs. |
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 v1.9.1 on Windows x64, leveraging CUDA 12.4.0.
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.