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AI 모델 535

• whisper-medium-GGUF↗

  oxide-lab

• kb-whisper-medium↗

  KBLab

• whisper-medium_timestamped↗

  onnx-community

• whisper-large-v3-turbo-mn-lora↗

  Blgn94

• whisper-large-v3-turbo-russian↗

  coriollon

• ShellWhisperer-1.5B↗

  fableforge-ai

• whisper-medium.en-gguf↗

  handy-computer

  Ported from upstream commit 2e98eb6, pinned 2026-04-25. Validated against the transformers reference at transcribe.cpp commit 0a26478 on 2026-09-13. OpenAI Whisper medium.en — converted to GGUF for transcribe.cpp. English-only; faster than the multilingual model at the same size. 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.

• whisper-tiny-ct2↗

  jkawamoto

• yi-whisper-large-v3-ct2↗

  ivrit-ai

• ark-asr-3b-GGUF↗

  cstr

  GGUF conversions of **AutoArk-AI/ARK-ASR-3B**, a 19-language automatic speech recognition model, for use with **CrispASR** (a ggml/llama.cpp-style C++ engine). > ⚠️ **Experimental / work-in-progress.** Core ASR is validated and accurate (see > below), but the backend has known rough edges — read **Limitations** before relying on it. ARK-ASR-3B = **Whisper-large-v3 encoder with partial rotary position embeddings** → **MLP adapter** → **Qwen2.5-3B decoder** with audio-token injection. A single self-contained GGUF holds the encoder, adapter, and language model.