oron-tts
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Explore AI models 84991
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View details ↗Hgn_trans_en2zh
BubbleSheep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-4-E2B-it-GGUF
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View details ↗Qwen3.5-4B-GGUF
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View details ↗politicalBiasBERT
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View details ↗本模型基于 **Qwen 3.8 27B Heretic‑Ara BF16** 进行 IQ4_XS 量化（4‑bit），文件体积为 **12.7-13.3 GiB**，专为 16GB 显存的显卡优化 8/22 Updated and fixed the issues with thinking; model performance remains unchanged It will probably take about another day for me to update the MTP version. 8/23 更新，对模型本身的性能进行一定优化，体积略微变大，无MTP版本13Gib，MTP版本13.3Gib 8/23 Update: The model's performance has been slightly optimized, resulting in a slight increase in size The non-MTP version is 13GiB, while the MTP version is 13.3GiB
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View details ↗本模型基于 **Qwen3.8-27B** 进行 **IQ4_XS** 量化（4‑bit），文件体积为 **12.9 GiB**，专为 **16GB 显存** 的显卡优化，在保持较低困惑度的同时，兼顾推理速度和显存占用。 This model is a **IQ4_XS** quantization (4‑bit) of **Qwen3.8-27B**. The file size is **12.9 GB**, and it is specifically optimized for graphics cards with **16GB VRAM**, offering a good balance between low perplexity, inference speed, and memory usage. We have conducted a comprehensive comparison with the **UD_IQ3_K_XL** quantization scheme (12.5 GB) of similar size. The evaluation metrics are shown below.
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View details ↗此模型可能短期更新，我发布了一个基于Heretic Arbitrary-Rank Ablation的无审查版本模型，性能更好且体积更小 链接： https://huggingface.co/Bucoid/Qwen3.8-27B-Heretic-Ara-IQ4-XS-16GB-VRAM-GGUF 这个模型可能过一段时间我会更新让他不那么菜，如果你需要无审查版本的模型，基于下载这个Ara的 This model may receive short-term updates. I have released an uncensored version based on Heretic Arbitrary-Rank Ablation, which offers better performance and a smaller file size. Link: https://huggingface.co/Bucoid/Qwen3.8-27B-Heretic-Ara-IQ4-XS-16GB-VRAM-GGUF This model may be updated in a while to make it less underwhelming If you need an uncensored version, please download this Ara-based one instead. Qwen3.8-27B Uncensored IQ4_XS 量化模型（适配 16GB 显存） 本模型基于 Qwen3.8-27B Uncensored 进行 IQ4_XS 量化（4‑bit），文件体积为 12.9 GiB，专为 16GB 显存 的显卡优化，在保持较低困惑度的同时，兼顾推理速度和显存占用。
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View details ↗byt5-sanskrit
buddhist-nlp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 ↗byt5-sanskrit-analyzer-hackathon
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View details ↗qwen35-mitra-lexicon-annotation
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View details ↗boomer-1b
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View details ↗EstBert_NER_SyntheticGov
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View details ↗xlm-roberta-NER-syntheticGov
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View details ↗birna-bert
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View details ↗BugTraceAI-Apex-G4-26B-Master-f16
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View details ↗BugTraceAI-Apex-G4-26B-Q4
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View details ↗BugTraceAI-CORE-Fast
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