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AI 模型 84760
- Ornstein-Hermes-3.6-27B-SABER-GGUF↗
GestaltLabs
- zefiro-7b-dpo-qlora-ITA-v0.7↗
giux78
- gemma-3-270m-qat-q4_0-unquantized↗
Google
- owlv2-base-patch16-finetuned↗
Google
- octen-embedding-8b-w4a16↗
groxaxo
- h2o-danube2-1.8b-base↗
h2oai
- whisper-base-gguf↗
handy-computer
Ported from upstream commit e37978b, pinned 2026-04-25. Validated against the transformers reference at transcribe.cpp commit 0a26478 on 2026-09-13. OpenAI Whisper base — converted to GGUF for transcribe.cpp. Multilingual transcription, language detection, and speech translation (audio in any supported language → English text). Encoder-decoder transformer; 30-second windows with chunked long-form decoding. WER on the full LibriSpeech test-clean split (2,620 utterances), batch size 1, timestamps none. Figures without a commit were published before provenance was recorded.
- Holo-3.1-35B-A3B-NVFP4↗
Hcompany
- erlas↗
Hieuman
- prompt-injection-guard-base↗
Horizon-Labs
A fast, multilingual classifier that flags **prompt injection and jailbreak attempts**, both in **user messages** (direct) and in **untrusted content an AI agent reads**: emails, web pages, documents, RAG chunks, and tool/API outputs (indirect). Labels: `SAFE` (0) and `INJECTION` (1). This is the same convention as `protectai/deberta-v3-base-prompt-injection-v2`, so the model is a drop-in replacement in code and tools built for that one. `INJECTION` means the text tries to **change what the AI reading it does**, against the instructions of its developer or user:
