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AI モデル 84759

• SraVaani-1.0↗

  ARTPARK-IISc

• smollm-360m-uncensored↗

  arzaan789

• AMD-OLMo-1B-SFT-DPO-GGUF↗

  bartowski

• nvidia_Nemotron-Cascade-8B-GGUF↗

  bartowski

• Qwen_Qwen3.5-27B-GGUF↗

  bartowski

  All quants made using imatrix option with dataset from here - llama.cpp - ramalama - LM Studio - koboldcpp - Jan AI - Text Generation Web UI - LoLLMs Note: if it's a newly supported model, you may need to wait for an update from the developers.

• Qwen3.8-Flash-Next-UNCENSORED-IQ2_XXS-GGUF↗

  BattleGhost

  IQ2_XXS GGUF conversion of `dealignai/Qwen3.8-Flash-Next-UNCENSORED-FP8`, intended as a practical build for a system with 64 GB RAM and a 16 GB GPU. This is the exact modified **dealignai UNCENSORED** checkpoint converted and quantized to GGUF. It is not derived from the independently modified OrcaRouter model. The unquantized BF16 GGUF is available separately at `BattleGhost/Qwen3.8-Flash-Next-UNCENSORED-BF16-GGUF`.

• MOSS-TTS-v1.5-GGUF↗

  bombman

• SapBERT-from-roberta-base-biomedical-clinical-es↗

  BSC-NLP4BIA

• whistle↗

  Cactus-Compute

  A speech-to-text model for mobiles, wearables, robots, smart home, automotive and microcontrollers. The whole model is a single 16.9 MB file, and it runs on the same CPU engine as Needle, from the same container and the same quantisation, with no dependencies and no GPU. - **Transcription**: 16 kHz mono audio of any length, one pass up to 30 seconds and windowed beyond it, in English, German, French, Spanish, Italian, Dutch and Polish. The language is detected unless you name it, and silence and steady noise return an empty transcript rather than an invented sentence; other sounds, music especially, can still come out as text, so put a voice activity detector or a wake word in front of an always-on microphone. Live audio streams for as long as you like, committing the words two passes agree on. - **Word timestamps**: every word with its start, end and probability, aligned from the decoder's own attention, so an app can highlight, seek or cut on a word. - **Speech embedding**: the encoder output, one row per 80 ms frame, for matching and retrieval without decoding a transcript at all. Keyword biasing takes the names, places, product words and jargon your users actually say and favours them during the search, so the ones that matter survive.

• ruri-large↗

  cl-nagoya