Kimi-K25-eagle3
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Nemotron-3-Embed-8B-GGUF
Aqua00基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗WritingBench-Critic-Model-Qwen-7B
AQuarterMile基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Llama-3-1.7B
ar08基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.8-27B-AWQ-W4A16-ASYM
Ar4ikov4-битный AWQ-квант Qwen/Qwen3.8-27B, сделанный llm-compressor в формате `compressed-tensors` (`pack-quantized`). Грузится в vLLM нативно. Квантование выполнено **с BF16-весов базовой модели**, а не с официального FP8-чекпоинта — чтобы не накладывать INT4 поверх уже потерянной точности. Qwen3.8-27B — гибрид: 64 слоя по схеме `16 × (3 × Gated DeltaNet → 1 × Gated Attention)`, плюс vision-башня и MTP-голова.
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View details ↗4-битный AWQ-квант orcarouter/Qwen3.8-27B-Uncensored, сделанный llm-compressor в формате `compressed-tensors` (`pack-quantized`). Грузится в vLLM нативно. Квантование выполнено **с BF16-весов**, а не поверх FP8-чекпоинта — чтобы не накладывать INT4 на уже потерянную точность. Qwen3.8-27B — гибрид: 64 слоя по схеме `16 × (3 × Gated DeltaNet → 1 × Gated Attention)`, плюс vision-башня и MTP-голова.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗multilang-pii-ner
Ar86Bat基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗chyon_unsloth_remerged_full_gemma_4
arabellako22基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gifted_maths_unsloth_remerged_full_gemma_4
arabellako22基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗qwen3-asr-1.7b-ar-run3
Arabic-STT基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwythos-9B-Claude-Mythos-5-1M-GGUF
arabsya87sy7a8基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗BanglaTag
arafatfahim基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗roberta-tiny
arampacha基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗whisper-large-hy-2
arampacha基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗central-kurdish-tts
araneminiThis repository contains three **Central Kurdish (Sorani Kurdish) Text-to-Speech (TTS)** models based on the **F5-TTS** architecture. The models were developed to provide high-quality speech synthesis for a low-resource language and support applications such as speech generation, voice cloning, speech translation, and data augmentation. The models were developed within the **TTS4All initiative at the JSALT 2025 workshop**, whose objective is to facilitate the rapid development of speech synthesis systems for low-resource languages using publicly available resources. The repository includes three single-speaker F5-TTS models trained on different datasets and speaking styles.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗calm3-22b-RP-v2-GGUF
Aratako基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗calm3-22b-RP-v3-GGUF
Aratako基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Drama-3-Japanese
Aratako基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gemma-3-4b-it-RP-v0.1-GGUF
Aratako基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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