Model assets redistributed for the Praxis language-learning app.
This repository contains no original work. Every file here is a byte-for-byte
copy of an upstream release, re-hosted only so the app has a stable, version-pinned
download source. Nothing has been re-trained, re-quantized, or otherwise modified.
Why re-host at all?
The app downloads models on demand and verifies them with a SHA-256 that is
compiled into the client. Pointing directly at an upstream repository would mean
that any upstream change — a re-export, a file rename, a repository removal —
silently breaks downloads for every already-shipped client. Re-hosting gives us a
path we control; upstream is kept as a fallback mirror.
Source:unsloth/Qwen3-1.7B-GGUF
(revision d7f544eead698dbd1f15126ef60b45a1e1933222, file Qwen3-1.7B-Q4_K_M.gguf) —
GGUF quantization of Qwen3-1.7B by the Qwen team,
quantized by Unsloth. Runs via llama.cpp.
The SHA-256 matches the upstream LFS pointer exactly.
Used for on-device translation so the app works offline and without per-request API cost.
Verifying
sha256sum model.int8.onnx tokens.txt
Any mismatch means the file was corrupted in transit or tampered with — do not use it.
License
Apache-2.0, inherited from the upstream releases. All credit for these models
belongs to their original authors, cited above.