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Model files (models-v1)
The model files the Spells online installer downloads. You do not need to download anything from this page by hand: the installer picks the files your languages and your computer need and checks every one against the SHA-256 hash pinned in build/pins.json.
| File | Size | What it does | Published by | Licence |
|---|---|---|---|---|
Qwen3-ASR-0.6B-Q4_K_M.gguf |
484 MB | Speech recognition for English and German | This project, see below | Apache-2.0 |
mmproj-Qwen3-ASR-0.6B-Q8_0.gguf |
214 MB | Audio projector for Qwen3-ASR | ggml-org | Apache-2.0 |
ggml-large-v3-turbo-q8_0.bin |
874 MB | Whisper large-v3 turbo, speech recognition for Albanian and every other language | ggerganov/whisper.cpp | MIT |
ggml-silero-v5.1.2.bin |
0.9 MB | Silero voice activity detection for Whisper | ggml-org | MIT |
mtp-gemma-4-E2B-it-Q4_0.gguf |
59 MB | Draft head that speeds up the Gemma 4 cleanup model | ggml-org | Apache-2.0 |
Qwen3-ASR-0.6B-Q4_K_M.gguf is this project's own quantisation of Qwen/Qwen3-ASR-0.6B: the bf16 weights converted to GGUF and quantised to Q4_K_M with llama.cpp b10997. Nothing else was changed. No one else publishes this file, so this release is its only source.
Two cleanup models are larger than the 2 GiB GitHub allows for one file, so the online installer downloads them from their publishers on Hugging Face, with the same hash check:
gemma-4-E2B-it-Q4_0.gguf(2.8 GB, Apache-2.0) from ggml-org/gemma-4-E2B-it-GGUFQwen3.5-4B-Q4_K_M.gguf(2.7 GB, Apache-2.0) from unsloth/Qwen3.5-4B-GGUF
The offline installer on the latest release carries every model it needs inside it, split into parts under 2 GiB.
The licence texts are attached as LICENSE-*.txt, and SHA256SUMS.txt lists the hash of every file here.