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AI モデル 84757

• qwen3.8-flash-coder-85gb-bf16-i1-GGUF↗

  mradermacher

• Starlight-Synthesis-31B-GGUF↗

  mradermacher

• Supermuse-30B-GGUF↗

  mradermacher

• TowerInstruct-Mistral-7B-v0.2-GGUF↗

  mradermacher

• Xing-VL1.0-Decision-GGUF↗

  mradermacher

• Qwen3-4B-Instruct-2507-GGUF↗

  Mungert

• d1-3B-GGUF↗

  NANI-Nithin

  Pick the largest file that leaves a couple of gigabytes of headroom on the device you will run it on — the model has to fit in RAM (or VRAM, if you are offloading) alongside the KV cache and the OS.

• bellman-7b-mistral-instruct-v0.2↗

  neph1

• Cosmos-Reason2-32B↗

  NVIDIA

• diar_streaming_sortformer_4spk-v2.1↗

  NVIDIA

  A new version of Sortformer diarization model Nemotron-3-Diarization has been released, supporting 8 speakers and greatly improved accuracy. This model is a streaming version of Sortformer diarizer. Sortformer[1] is a novel end-to-end neural model for speaker diarization, trained with unconventional objectives compared to existing end-to-end diarization models. Streaming Sortformer[2] employs an Arrival-Order Speaker Cache (AOSC) to store frame-level acoustic embeddings of previously observed speakers.