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ai-text-detector-v1.01
desklibThis AI-generated text detection model, developed by Desklib, is designed to classify English text as either human-written or AI-generated. It currently leads the RAID Benchmark for AI Detection. This model is a fine-tuned version of **microsoft/deberta-v3-large**, leveraging a transformer-based architecture to achieve high accuracy. It is robust and handles various adversarial attacks across different domains remarkably well. This model is particularly useful for applications in content moderation, academic integrity, journalism, and anywhere the authenticity of text is paramount. **Desklib** provides AI-based tools for personalized learning and study help. This model is one of the many tools offered by Desklib for students, educators and universities. **Try the model online!**: Desklib AI Detector
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View details ↗diffusion_cosine_babylm
despoinakk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 ↗DeSTA2.5-Audio-Llama-3.1-8B
DeSTA-ntu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-3.1-8B-Instruct
DeSTA-ntu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 ↗controlnet-inpaint-dreamer-sdxl
destitech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 ↗SexSlave-1
DeSu-Pog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 **4-bit weight-only (W4A16)** quantization of the *uncensored / abliterated* Qwen3.8-27B vision-language model, sized to run on a single **24 GB GPU (e.g. RTX 3090)**. This is the exact quant used to serve an agentic assistant ("Sage") live on an RTX 3090 in day-to-day use, so it's known to load and run under vLLM on consumer 24 GB hardware — not just a theoretical export. Then hit the OpenAI-compatible endpoint at `http://localhost:8000/v1`. Adjust `--max-model-len` to trade context length against KV-cache memory on a 24 GB card. A recent vLLM with `compressed-tensors` support is required.
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View details ↗Qwen3.6-35B-A3B-Cerebellum-GGUF
deucebucket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 ↗Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF
deucebucket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-4-31B-it-scotoma-2-GGUF-long-ctx
DeusImperator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 ↗gbert-large-paraphrase-cosine
deutsche-telekomThis is a sentence-transformers model. It maps sentences & paragraphs (text) into a 1024 dimensional dense vector space. The model is intended to be used together with SetFit to improve German few-shot text classification. It has a sibling model called deutsche-telekom/gbert-large-paraphrase-euclidean. **Loss Function**\ We have used MultipleNegativesRankingLoss with cosine similarity as the loss function. **Training Data**\ The model is trained on a carefully filtered dataset of deutsche-telekom/ger-backtrans-paraphrase. We deleted the following pairs of sentences: - `min_char_len` less than 15 - `jaccard_similarity` greater than 0.3 - `de_token_count` greater than 30 - `en_de_token_count` greater than 30 - `cos_sim` less than 0.85
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View details ↗gbert-large-paraphrase-euclidean
deutsche-telekomThis is a sentence-transformers model. It maps sentences & paragraphs (text) into a 1024 dimensional dense vector space. The model is intended to be used together with SetFit to improve German few-shot text classification. It has a sibling model called deutsche-telekom/gbert-large-paraphrase-cosine. **Loss Function**\ We have used BatchHardSoftMarginTripletLoss with eucledian distance as the loss function: **Training Data**\ The model is trained on a carefully filtered dataset of deutsche-telekom/ger-backtrans-paraphrase. We deleted the following pairs of sentences: - `min_char_len` less than 15 - `jaccard_similarity` greater than 0.3 - `de_token_count` greater than 30 - `en_de_token_count` greater than 30 - `cos_sim` less than 0.85
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View details ↗mdr_roberta_q_encoder
deutschmann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 ↗stt_ar_fastconformer_hybrid_large_pcd_v1.0-mirror
dev-ahmedhany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 ↗MiniArt-Uncensored
Dev4285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-int4-AutoRound
devan-carlin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 ↗MagenticBrain-GGUF
devehz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 ↗Anima-etheroi
developerjeremylive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 ↗Ornith-1.5-9B-DFlash-GGUF-etheroi
developerjeremylive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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