Roberta-MultiMoral-Presence
gsi-upm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 84999
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View details ↗gemma-3-4b-it-Q4_K_M-GGUF
gsxrchris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 ↗Multitask Text and Chemistry T5 : a multi-domain, multi-task language model to solve a wide range of tasks in both the chemical and natural language domains. Published by Christofidellis et al. **Model Details**: The Multitask Text and Chemistry T5 variant trained using t5-small as its pretrained based and the augmented dataset . **Developers**: Dimitrios Christofidellis*, Giorgio Giannone*, Jannis Born, Teodoro Laino and Matteo Manica from IBM Research and Ole Winther from Technical University of Denmark.
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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 ↗FOMC-RoBERTa
gtfintechlab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 ↗moody-porn-mix-v10-dpo-gguf
Gthalmie1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 ↗moody-porn-mix-v9-gguf
Gthalmie1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 ↗moody-real-mix-v4-dpo-gguf
Gthalmie1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 ↗moody-wild-mix-v1-gguf
Gthalmie1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 ↗moody-wild-mix-v2-gguf
Gthalmie1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 ↗tropa-qwen3.5-4b-core
gtwototoo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 ↗legato
guangyangmusic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 ↗legato-small
guangyangmusic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 ↗FLUX.2-klein-9B-Blitz-ComfyUI
GuangyuanSDThis is the **next-level face-swap** specialized evolution of the **Dark Beast** lineage, built on the lightning-fast **FLUX.2 Klein 9B** accelerated model from **Black Forest Labs**. Engineered with targeted optimizations for face swapping practices, it integrates **BFS (Best Face Swap)** technology to completely eliminate the rigid, unnatural look that plagued earlier face replacements — delivering seamless, lifelike integrations with preserved identity, expression, and lighting. It also fully fixes the portrait reference issue from the previous **DB BlitZ** versions, ensuring right reference adherence every time.
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View details ↗RedCraft-DF11-Collection
GuangyuanSD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 ↗Z-Image-Distilled
GuangyuanSDOn this Day, may every woman feel the strength, grace, and boundless potential that lives within her. Thank you for your courage, your kindness, your resilience, and the countless ways you make the world brighter and better. Here's to equality, empowerment, joy, and endless possibilities—today and every day. Happy International Women's Day🌸 Special thanks to the VideoXFUN team for releasing the groundbreaking **Zimage Distilled Adapter 2603**. By incorporating this latest update, **AGILE** achieves a refined balance between speed, diversity, and visual richness — unlocking more creative freedom while maintaining exceptional efficiency. --- **Agility in Motion, Diversity in Depth** The brand-new ZImage FUN “AGILE” is built upon the cutting-edge **ZIB acceleration framework**. We deliberately reduced DPO & Distilled weight to preserve greater stochastic freedom, combined with the most recent training datasets, resulting in dramatically increased output variety, richer content details, and more imaginative compositions without sacrificing core stability. For the first time, **AGILE** reaches a true quality parity challenge against the flagship **“ZImage TURBO”** in terms of overall image fidelity and sharpness — even in complex scenes — while delivering faster iteration and superior responsiveness.
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View details ↗visual-jev-4b-answer-sft
guanxuyu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 ↗ModernGuard-1
guardion> TL;DR: A state-of-the-art multilingual prompt injection classifier achieving 94.3% F1 score with industry-leading 30ms latency, 20x faster than cloud alternatives, trained on a large corpus of attacks, capable of detecting both explicitly malicious prompts as well as data that contains injected inputs. ModernGuard-1 is a state-of-the-art, cheaper and faster multilingual classifier designed by GuardionAI for real-time detection of prompt injections and jailbreak attempts. Built on the ModernBERT architecture, the model provides industry-leading latency for securing LLM-based applications across over 1,080 languages, making it one of the fastest and most linguistically diverse safety classifiers available. **Context Window:** Supports up to 8,192 tokens (2,048 tokens recommended for optimal real-time performance)
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View details ↗finetuned_nli_provenance
GuardrailsAI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 ↗prompt-saturation-attack-detector
GuardrailsAIA small model to detect saturation jailbreak attacks. Not intended for standalone use against other kinds of jailbreaks. - **Developed by:** Guardrails AI, Joseph Catrambone - **Funded by [optional]:** Guardrails AI - **Model type:** Transformer, BERT - **Language(s) (NLP):** English - **License:** Restrictive - **Finetuned from model [optional]:** bert-tiny Not designed to catch other types of jailbreaks. Saturation protection is one part of a more complite suite of defenses against improper use of ML systems.
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