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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ quantized_by: Pomni
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+ language:
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+ - en
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+ - zh
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+ - de
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+ - es
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+ - ru
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+ - ko
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+ - fr
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+ - ja
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+ - pt
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+ - tr
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+ - pl
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+ - ca
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+ - nl
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+ - ar
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+ - sv
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+ - it
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+ - id
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+ - hi
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+ - fi
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+ - vi
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+ - he
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+ - uk
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+ - el
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+ - ms
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+ - cs
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+ - ro
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+ - da
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+ - hu
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+ - ta
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+ - no
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+ - th
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+ - ur
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+ - hr
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+ - bg
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+ - lt
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+ - la
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+ - mi
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+ - ml
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+ - cy
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+ - sk
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+ - te
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+ - fa
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+ - lv
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+ - bn
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+ - sr
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+ - az
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+ - sl
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+ - kn
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+ - et
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+ - mk
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+ - br
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+ - eu
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+ - is
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+ - hy
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+ - ne
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+ - mn
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+ - bs
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+ - kk
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+ - sq
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+ - sw
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+ - gl
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+ - mr
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+ - pa
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+ - si
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+ - km
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+ - sn
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+ - yo
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+ - so
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+ - af
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+ - oc
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+ - ka
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+ - be
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+ - tg
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+ - sd
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+ - gu
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+ - am
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+ - yi
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+ - lo
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+ - uz
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+ - fo
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+ - ht
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+ - ps
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+ - tk
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+ - nn
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+ - mt
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+ - sa
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+ - lb
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+ - my
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+ - bo
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+ - tl
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+ - mg
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+ - as
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+ - tt
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+ - haw
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+ - ln
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+ - ha
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+ - ba
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+ - jw
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+ - su
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+ base_model:
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+ - openai/whisper-tiny
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+ pipeline_tag: automatic-speech-recognition
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+ tags:
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+ - whisper.cpp
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+ - ggml
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+ - whisper
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+ - audio
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+ - speech
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+ - voice
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+ ---
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+ # Whisper-Tiny quants
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+ This is a repository of **GGML quants for [whisper-tiny](https://huggingface.co/openai/whisper-tiny)**, for use with [whisper.cpp](https://github.com/ggml-org/whisper.cpp).
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+
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+ If you are looking for a program to run this model with, then I would recommend [EasyWhisper UI](https://github.com/mehtabmahir/easy-whisper-ui), as it is user-friendly, has a GUI, and will automate a lot of the hard stuff for you.
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+ ## List of Quants
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+ Not all of the links will work right now, as I am still in the middle of quantizing them. Clicking on a link will download the corresponding quant instantly.
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+ | Link | Quant | Size | Notes
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+ |:-----|:-----|--------:|:------|
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-f32.bin) | F32 | ? MB | Likely overkill. |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-f16.bin) | F16 | ? MB | Performs better than Q8_0 for noisy audio and music. |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q8_0.bin) | Q8_0 | ? MB | Sweet spot; superficial quality loss at nearly double the speed. |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q6_k.bin) | Q6_K | ? MB | |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q5_k.bin) | Q5_K | ? MB | |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q5_1.bin) | Q5_1 | ? MB | |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q5_0.bin) | Q5_0 | ? MB | Last "good" quant; anything below loses quality rapidly. |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q4_k.bin) | Q4_K | ? MB | *Might* not have lost too much quality, but I'm not sure. |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q4_1.bin) | Q4_1 | ? MB | |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q4_0.bin) | Q4_0 | ? MB | |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q3_k.bin) | Q3_K | ? MB | |
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+ | [GGML](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/resolve/main/ggml-tiny-q2_k.bin) | Q2_K | ? MB | Completely non-sensical outputs. |
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+
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+ The F16 quant was taken from [ggerganov/whisper.cpp/ggml-tiny.bin](https://huggingface.co/ggerganov/whisper.cpp/blob/main/ggml-tiny.bin).
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+ ## Questions you may have
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+ ### Why do the "K-quants" not work for me?
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+ 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.
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+ ### Are the K-quants "S", "M", or "L"?
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+ The quantizer I was using was not specific about this, so I do not know about this either.
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+ ### What program did you use to make these quants?
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+ I used [whisper.cpp v1.7.6](https://github.com/ggml-org/whisper.cpp/releases/tag/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.
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+ ### One or multiple of the quants are not working for me.
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+ [Open a new discussion](https://huggingface.co/Pomni/whisper-tiny-ggml-allquants/discussions/new) in the community tab about this, and I will look into the issue.