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AI 模型 84759

• Apertus-8B-Instruct-heretic↗

  saidutta69

• MiniMax-Music3-GGUF↗

  scragnog

  GGUF conversion of MiniMaxAI/MiniMax-Music3 for **HOT-Step CPP**, a fully local desktop app for AI music generation with a native C++/GGML engine. As far as we know this is the first GGUF conversion of this model. These files are downloaded automatically by HOT-Step's Model Manager when the MiniMax-Music3 backend is selected. They are **not** usable with llama.cpp alone: `mm3-lm-*.gguf` is structurally a Qwen3 GGUF, but music generation requires the full five-module pipeline (LM → RVQ depth decoder → condition encoder → flow-matching DiT → vocoder) implemented in HOT-Step's engine. Since 2026-08-14 the repo carries **one file per pipeline component**, so each can be picked at its own quantisation and swapped without re-downloading the others:

• Alpha-Gen-1↗

  SkMasud58

• piper-de_DE-thorsten-medium↗

  speaches-ai

• Qwen3-32B-lecore-19g-mlx↗

  staccs

• Qwen2.5-0.5B-Instruct-Gensyn-Swarm-pesty_nocturnal_gull↗

  talkwork

• convnext_small.in12k_ft_in1k↗

  timm

  A ConvNeXt image classification model. Pretrained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) and fine-tuned on ImageNet-1k by Ross Wightman. ImageNet-12k training done on TPUs thanks to support of the TRC program. Fine-tuning performed on 8x GPU Lambda Labs cloud instances.

• TrajectoryCrafter↗

  TrajectoryCrafter

• tiny-CohereForCausalLM↗

  trl-internal-testing

  This is a minimal model built for unit tests in the TRL library.

• gemma-4-26b-a4b-it-UD-MLX-4bit↗

  unsloth