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- Toollocal-mcp
Let ChatGPT, Claude, Cursor & any MCP client actually use your Mac or Windows PC — read & reply to email, manage your calendar, text over iMessage, find files, work with
- ModelProXi_/Goldcan Style [Anima]
Trigger word: g0ldxi Suggested strength: 0.8-1
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- PaperDo bots feel bad? Assessing empirical evidence for functional valence in LLMs
Do LLMs have valenced states, i.e. states that feel pleasant or unpleasant? Recent empirical work has claimed to show that LLMs possess functional valenced states (e.g. `
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- Modelrolenzio/LOIS (Fictional character)
🧠 Model Description LoRA Name: LOIS Base Model: KREA 2 Type: Character LoRA Age: 42 Gender: FEMALE Trigger word: SH3LL1 This LoRA is designed to consistently and accurat
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- PaperLive-OPSD: On-Policy Self-Distillation for Proactive Streaming Large Video Models
Streaming multimodal assistants must make response decisions while events are still unfolding. They need to recognize when the available evidence warrants a response, pro
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- PaperPailitaoMMSearch2.0 Technical Report: Scaling Generative Retrieval to Unified End-to-End Multimodal Search
Generative retrieval models have been increasingly adopted in search and recommendation systems. However, industrial generative retrieval models are commonly specialized
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- ModelKing_Dong/东雪莲-虚拟主播（Azuma Seren-Vtuber）
传世金句： 谁罕见啊？骂谁罕见呢！ （吸气~） 骂谁罕见！！！ ⚡ 🌪️ ⚡ 🌪️ 罕 见 旋 风 劈 ⚡ 🌪️ ⚡ 🌪️ 😭😭😭 莲莲你回来吧！！！😭😭😭 The most famous quotes: Who is a traitor huh? Who are you calling a traitor! (Sni
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- PaperMining the Nineteenth Century for the Thirteenth: Register-Scale Forced Alignment and HTR Bootstrapping via Legacy Regesta and Antiquarian Editions
Handwritten text recognition (HTR) for the registers of Pope Honorius III depends on modern expert transcriptions, which exist only for regnal years 1-2 of Reg. Vat. 9. F
- ModelFasd800/Hokari Kanae [Euphoria] (Anima)
🔥 50% OFF on Illustrious → Anima Conversions! Want to bring one or more IllustriousXL models to Anima ? Right now, all conversions are 50% OFF 💬 Commissions Community I
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- DatasetNexdata-AI/50000-Hours-UMI-Embodied-Manipulation-Dataset
50000-Hours-UMI-Embodied-Manipulation-Dataset Description UMI Embodied Manipulation Dataset: a large-scale real-world teleoperation dataset for embodied AI, captured in r
- DatasetLangGao/pythia-160m-neuron-evolution
Pythia-160M Neuron Evolution How 240 MLP neurons of Pythia-160M change over training: LLM-written explanations at 40 checkpoints, concept lineages, and quantitative metri
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- DatasetIndiaTechTeamSL2/pick_and_place_finale_20261027_151135
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "shape":
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Headlines and links come from the labs' own blogs, Hacker News and the GDELT news index, and from the sources our index already follows. We show a short excerpt and always link to the original. A launch reported by a news site rather than the lab is marked “Reported” until the lab itself announces it.