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AI 模型 84760

• prithivMLmods.Tadpole-Opus-14B-Exp-GGUF↗

  csabakecskemeti

• Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF↗

  DavidAU

• facebook.MobileLLM-R1-950M-GGUF↗

  DevQuasar

• HiTZ.Latxa-Llama-3.1-8B-GGUF↗

  DevQuasar

• ltx-2.3-mlx-q8↗

  dgrauet

  Int8 quantization (group_size 64, transformer block Linear weights only) of dgrauet/ltx-2.3-mlx, the MLX conversion of Lightricks/LTX-2.3. These weights are a derivative work and are distributed under the same terms as the model they were converted from. A verbatim copy ships with them as `LICENSE`, and the upstream text is at https://github.com/Lightricks/LTX-2/blob/main/LICENSE-2. Use of these weights is subject to it, including any restrictions it attaches. These weights can be used with ltx-2-mlx, a native MLX inference pipeline for LTX-2.3 on Apple Silicon:

• bert-base-polish-cased-v1↗

  dkleczek

• wav2vec2-large-xls-r-300m-bg-d2↗

  DrishtiSharma

  This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - BG dataset. It achieves the following results on the evaluation set: - Loss: 0.3421 - Wer: 0.2860 python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-bg-d2 --dataset mozilla-foundation/common_voice_8_0 --config bg --split test --log_outputs python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-bg-d2 --dataset speech-recognition-community-v2/dev_data --config bg --split validation --chunk_length_s 10 --stride_length_s 1

• metaclip-b32-400m↗

  facebook

• mms-tts-ded↗

  facebook

• mms-tts-myy↗

  facebook