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tuanhdev/vidroidcall-qwen3-0.6B-nlu-gguf-v6
vidroidcall-qwen3-0.6B-nlu-gguf-v6 is a machine learning model from tuanhdev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
On-device Vietnamese NLU for ViDroidCall Studio (Apache-2.0).
Downloads · 30 days
47
15% of all-time downloads
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.gguf793 MB · 100%
From the Hugging Face model README
On-device Vietnamese NLU for ViDroidCall Studio (Apache-2.0).
Fine-tune of Qwen3-0.6B, exported as GGUF Q4_K_M.
Recommended file: qwen3-nlu-run-014-Q4_K_M.gguf
GGUF is weights only. The Android app must inject the NLU system prompt and run the validator after inference (temperature=0).
| File | Run | Intents | Size | Note |
|---|---|---|---|---|
qwen3-nlu-run-014-Q4_K_M.gguf | run-014 | 11 (includes search_web) | ~378 MB | Latest. MVP pass, hard-v3 93.5% |
qwen3-nlu-run-006-Q4_K_M.gguf | run-006 | 10 | ~397 MB | Demo / contest release. Keep. |
When a new train is ready, add qwen3-nlu-run-XXX-Q4_K_M.gguf to this repo and add a row here. Do not overwrite an existing filename.
Latest:
adb push qwen3-nlu-run-014-Q4_K_M.gguf /sdcard/Download/
Contest / older docs (run-006):
adb push qwen3-nlu-run-006-Q4_K_M.gguf /sdcard/Download/
The app scans .gguf in the device Download folder. Fast-Path still works without this file. If both files are in Download, keep only the version you want the app to load.
Apache-2.0. Base model: Qwen3 (Alibaba).