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AI モデル 84759
- ThinCtx-Qwen3.5-2B-GGUF↗
mradermacher
- Zora-9B-v2-i1-GGUF↗
mradermacher
- Zurich-7B-GCv2-5m-GGUF↗
mradermacher
- Qwopus3.6-35B-A3B-Coder-APEX-MTP-GGUF↗
mudler
- Huihui-Qwen3.5-4B-abliterated-GGUF↗
Nefarious1313
- testing-llama_hidden_size_64↗
np-cr
- CrisperWhisper2.0_turbo↗
nyralabs
**The most accurate verbatim speech recognition you can run in production: controllable, multilingual, and timed to the word.** Most speech-to-text systems never actually decide whether to write down what was *said* or what was *meant*. They inherit that choice from their training data and apply it inconsistently. CrisperWhisper 2.0 makes it an explicit, controllable choice. One recording, two transcripts: > **Verbatim**, exactly what was said, in one consistent format: > `[um] so we we need to, to reschedule the th- thursday meeting to [uh] march third at nine thirty [laughter]` > > **Intended**, the clean version the speaker meant, with numbers, dates, > and emails formatted the way you'd write them: > `So we need to reschedule the Thursday meeting to March 3 at 9:30.`
- GRM-2.5↗
OrionLLM
- dart-v1-sft↗
p1atdev
- shieldgemma-9b-GGUF↗
QuantFactory
