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AI 모델 84759

• OpenAi-GPT-oss-36B-BrainStorm20x-uncensored-gguf↗

  DavidAU

• fasttext-attention↗

  deepparse

• deepseek-coder-5.7bmqa-base↗

  DeepSeek

• Ingot-XII-27B-Q2↗

  dendriteholdings

  A public mirror of a model that won on Ingot, a Bittensor subnet where miners quantize a fixed teacher model and the validator crowns the copy that stays closest to it. It is Prism ML's Ternary Bonsai 2 27B, refined: the same ternary codes, with the per-block scales and the norm weights re-tuned by the miner to bring it closer to Qwen3.8-27B. The weights are the miner's upload, byte for byte (`Ingot-XII-27B-PQ2_0.gguf`); `Ingot-XII-27B-PTQ1_0.gguf` repacks them losslessly at 1.75 bits per weight. Credit belongs to the miner, and to Prism ML for Bonsai 2.

• Qwen3.6-35B-A3B-MoEGraded↗

  E-stick

• deit-tiny-distilled-patch16-224↗

  facebook

• mms-lid-1024↗

  facebook

  This checkpoint is a model fine-tuned for speech language identification (LID) and part of Facebook's Massive Multilingual Speech project. This checkpoint is based on the Wav2Vec2 architecture and classifies raw audio input to a probability distribution over 1024 output classes (each class representing a language). The checkpoint consists of **1 billion parameters** and has been fine-tuned from facebook/mms-1b on 1024 languages. - Example - Supported Languages - Model details - Additional links This MMS checkpoint can be used with Transformers to identify the spoken language of an audio. It can recognize the following 1024 languages.

• mms-tts-evn↗

  facebook

• mms-tts-mqf↗

  facebook

• seamless-streaming↗

  facebook