{"slug": "qualcomm-whisper-medium", "title": "qualcomm/whisper-medium", "summary": "Qualcomm released Whisper-Medium, a medium-sized automatic speech recognition model, on Hugging Bay under an 'other' license. The model is designed for easy local inference on CPUs, Apple Silicon, or small consumer GPUs, but its trust score is 0/100 pending review and safety checks.", "body_md": "# qualcomm/whisper-medium\n\nqualcomm/whisper-medium: Whisper-Medium License: other. external modelscope metadata. Scan: pending.\n\n- License\n- other\n- Size\n- 24.8 KB\n- Demand\n- 3 upstream downloads\n- Trust\n- Needs review 0/100\n- Trusted download\n- External or needs review\n- Run fit\n- Easy local fit: CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests\n- Files\n- 0 hosted / 0 total\n- Scan status\n- pending\n- Hosting status\n- external\n- Upstream\n- qualcomm/Whisper-Medium\n- Declared license\n- other\n- Pipeline\n- general\n- Library\n- pytorch\n- Task categories\n- general\n\n## About this artifact\n\nExternal ModelScope model metadata for qualcomm/Whisper-Medium. Related arXiv: . Model files stay upstream; Hugging Bay indexes this metadata for discovery and provenance only.\n\n## Trusted download\n\nExternal or needs review. No Hugging Bay hosted download is available until source, license, and safety checks pass.\n\n- Hosted files\n- 0 of 0\n- Reviewed peer-assisted fallbacks\n- 0\n- Download plan\n[Download-plan JSON](/api/artifacts/modelscope-qualcomm-whisper-medium/download-plan)- Trust bundle\n[Trust-bundle JSON](/api/trust-bundles/modelscope-qualcomm-whisper-medium)- Review summary\n[Review-summary JSON](/api/artifacts/modelscope-qualcomm-whisper-medium/review-summary)- Distribution\n[Reviewed peer-fallback JSON](/api/artifacts/modelscope-qualcomm-whisper-medium/distribution)\n\n## Can I run this?\n\nEasy local fit. CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests. Start with the local kit, verify hashes, then run a small inference or embedding check before production use.\n\n- Estimated footprint\n- 24.8 KB\n- Suggested runners\n- Transformers\n- Runtime files\n- 0\n- Local kit\n[Local run kit](/local-kit/modelscope-qualcomm-whisper-medium)\n\nRun-fit warnings: No runtime weight file is indexed yet.; Hugging Bay is showing metadata only until reviewed hosted files exist.\n\n- License: fail - other\n- Provenance: pass - qualcomm/Whisper-Medium\n- Scan: warn - pending\n- Hosted files: warn - external metadata only\n- Signed manifest: fail - not final yet\n- Community: warn - no reviews yet\n- Benchmarks: warn - no benchmark evidence\n\n## Machine-readable card\n\n[Open interactive artifact page](/#/artifact/modelscope-qualcomm-whisper-medium)", "url": "https://wpnews.pro/news/qualcomm-whisper-medium", "canonical_source": "https://huggingbay.xyz/artifact/modelscope-qualcomm-whisper-medium", "published_at": "2026-07-02 15:31:38+00:00", "updated_at": "2026-07-11 02:44:32.369056+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "ai-products"], "entities": ["Qualcomm", "Whisper-Medium", "Hugging Bay"], "alternates": {"html": "https://wpnews.pro/news/qualcomm-whisper-medium", "markdown": "https://wpnews.pro/news/qualcomm-whisper-medium.md", "text": "https://wpnews.pro/news/qualcomm-whisper-medium.txt", "jsonld": "https://wpnews.pro/news/qualcomm-whisper-medium.jsonld"}}