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AI 모델 84759

• ptv3↗

  AutowareFoundation

• arcee-ai_Trinity-Large-Base-GGUF↗

  bartowski

• Llama-3-Instruct-8B-SPPO-Iter3-GGUF↗

  bartowski

• Mistral-7B-Instruct-v0.3-GGUF↗

  bartowski

  All quants made using imatrix option with dataset from here If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (Mistral-7B-Instruct-v0.3-Q8_0) or download them all in place (./)

• mistralai_Mistral-Large-3-675B-Instruct-2512-GGUF↗

  bartowski

• mlabonne_gemma-3-4b-it-abliterated-GGUF↗

  bartowski

  Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (mlabonne_gemma-3-4b-it-abliterated-Q8_0) or download them all in place (./)

• DeepSeek-V4.1-Flash-1017-oQ4e-mtp↗

  bearzi

• tinystories-gpt2-3M↗

  calum

• wav2vec2-xls-r-juznevesti-sr↗

  classla

  This model for Serbian ASR is based on the facebook/wav2vec2-xls-r-300m model and was fine-tuned with 58 hours of audio and transcripts from Južne vesti, programme '15 minuta'. For more info on the dataset creation see this repo. Tested with `transformers==4.18.0`, `torch==1.11.0`, and `SoundFile==0.10.3.post1`.

• CLOSP-Visual↗

  DarthReca