LiquidAI_LFM2.5-350M-b2b-llamacpp
damienlusson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 ↗DISCOVER & COMPARE
Explore AI models 84991
Stanley_Kubrick_Look_Magazine_Qwen
damnthatai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 ↗polylm-1.7b
DAMO-NLP-MT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 ↗polylm-chat-13b
DAMO-NLP-MT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 ↗SigLIP-NaViT
DAMO-NLP-SGThis is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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View details ↗VideoLLaMA2.1-7B-AV
DAMO-NLP-SG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 ↗VideoLLaMA3-2B
DAMO-NLP-SG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 ↗VideoLLaMA3-7B
DAMO-NLP-SG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 ↗https://huggingface.co/stduhpf/google-gemma-3-12b-it-qat-q4_0-gguf-small but with tokens 105 and 106 and their corresponding image tokens set to control instead of normal. Added general.name metadata.
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View details ↗muscriptor-gguf
DamRsnGGUF conversions of the MuScriptor multi-instrument music transcription weights by **Mirelo** and **Kyutai**, converted for use with `muscriptor.cpp`, a C++/ggml port of the reference implementation, and with NeuralNote. These are format conversions: safetensors → GGUF, with the bulk weights cast to float16. Nothing was retrained or fine-tuned. All credit for the model belongs to Mirelo and Kyutai — see `NOTICE.md`. `medium` is the default. `small` is the one to reach for on a machine without a usable GPU; `large` is worth it only with one.
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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 ↗A-to-Zovya-RPG-v1-5
danbrown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 ↗RevAnimated-v1-2-2
danbrown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 ↗music-generation
DancingIguana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-Uncensored-FP8
dancinlab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-Uncensored-GGUF
dancinlab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 ↗vilt-b32-finetuned-coco
dandelin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 ↗vilt-b32-finetuned-nlvr2
dandelin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 ↗vilt-b32-finetuned-vqa
dandelinVision-and-Language Transformer (ViLT) model fine-tuned on VQAv2. It was introduced in the paper ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision by Kim et al. and first released in this repository. Disclaimer: The team releasing ViLT did not write a model card for this model so this model card has been written by the Hugging Face team.
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View details ↗vilt-b32-mlm
dandelinVision-and-Language Transformer (ViLT) model pre-trained on GCC+SBU+COCO+VG (200k steps). It was introduced in the paper ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision by Kim et al. and first released in this repository. Note: this model only includes the language modeling head. Disclaimer: The team releasing ViLT did not write a model card for this model so this model card has been written by the Hugging Face team. You can use the raw model for masked language modeling given an image and a piece of text with [MASK] tokens.
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View details ↗Qwen3-Sex
DandelionConvention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 ↗sam2.1_hiera_tiny
danelcsb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 ↗Classification-DIAS-65Bands
DaneshSelwal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 ↗chandra-ocr-2-FP8-dynamic
dangvansam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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