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Contents

Hugging Face
AI Model·2026
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LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction

Robbyant Team, Chen, Lin‑Zhuo +10

Performs feed‑forward streaming 3D reconstruction from image sequences, combining coordinate grounding, dense geometric cues and trajectory memory to correct long‑range drift; uses paged KV‑cache attention for ~20 FPS inference at 518×378 and supports sequences >10,000 frames.

#vision#pytorch#foundation-model#huggingface#ai-inference+2
GitHub
AI Client·2026
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ego-lite

Citrolabs

Runs multiple AI agents in parallel inside a single macOS browser, giving each agent an isolated Space that can use your real logins without touching your tabs; controllable via an ego-browser JavaScript skill to perform web automation with fewer tokens and faster task completion.

#agent-skills#ai-agent#ai-tools#javascript#nodejs+6
GitHub
AI Client·2026
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wacrm

ArnasDon

Self-hostable CRM for WhatsApp that centralizes shared inboxes, contacts, sales pipelines and no-code automations; includes a bring-your-own-key AI reply assistant and optional auto-reply bot grounded in a searchable knowledge base.

#github#nodejs#typescript#react#postgres+8
Hugging Face
AI Model·2026
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Leanly_AI

Xin Ning, Wen Junping +2

Clinical question-answering model for psychological support in obesity weight-management. Integrates UK Biobank population evidence to produce clinically interpretable, stigma-aware responses that help clinicians identify distress, prompt screening, and suggest appropriate referrals.

#huggingface#nlp#llm#chatbot#multilingual+2
Hugging Face
AI Dataset·2026
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Open-SWE-Traces

Wasi Uddin Ahmad, Nikolai Ludwig +2·NVIDIA

Provides 207k+ LLM-generated agent trajectories of code edits and tool interactions for training and evaluating software-engineering agents. Collected via OpenHands and SWE-agent using Qwen3.5-122B and MiniMax-M2.5, multilingual across nine languages and released under CC BY 4.0.

#nvidia#huggingface#code#ai-agent#agent-skills+4
GitHub
AI Agent·2026
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Diagram Design

Cathryn Lavery·BestSelf.co, Littlemight

Generates editorial-quality diagrams as self-contained HTML files with inline SVG across 27 visual types; includes brand onboarding, agent-skill integrations (Claude Code, Codex, Pi), draw.io/Mermaid import, and static-first output with optional accessible motion.

#agent-skills#plugin#github#claude#codex+3
Hugging Face
AI Model·2026
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Qwen3.6-35B-A3B-DFlash

z-lab

Drafts multiple tokens in parallel with a lightweight block-diffusion drafter to enable speculative decoding for faster LLM inference. Designed to pair with Qwen3.6-35B-A3B and reports up to ~2.9× throughput improvements on common benchmarks.

#huggingface#llm#vllm#ai-inference#ai-deploy+3
Hugging Face
AI Model·2026
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Qwopus-GLM-18B-Merged (Healed)

KyleHessling1

A healed 64-layer 'frankenmerge' that stacks two Qwen3.5-derived finetunes into an ~18B GGUF model for multilingual text generation, reasoning, and reliable code/frontend output. Healed with a 1000-step QLoRA to reduce layer-boundary artifacts and targeted to run on 12–16 GB GPUs.

#huggingface#llm#nlp#ai-coding#ai-inference+3
GitHub
AI Model·2026
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SenseNova-U1

Haiwen Diao, Penghao Wu +8·OpenSenseNova

Unifies multimodal understanding, reasoning, and image generation in a single end-to-end architecture using the NEO-unify paradigm. Models pixels and words jointly without a separate visual encoder, and provides interleaved image–text generation, infographic editing, and GGUF/low‑VRAM inference options.

#multimodal#foundation-model#ai-image#image#transformers+6
Hugging Face
AI Model·2026
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OpenAI Privacy Filter

OpenAI

Detects and masks personally identifiable information (PII) in text using a bidirectional token-classification model for high-throughput, on‑premises sanitization. Key traits: 1.5B parameters, 128k-token context, Apache 2.0 license, and tunable precision/recall operating points.

#openai#privacy#huggingface#nlp#ai-inference+2
Hugging Face
AI Model·2026
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Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

HauhauCS

An uncensored, fully unlocked GGUF port of Qwen 3.6‑35B‑A3B for local multimodal (text+image) inference, offering K_P 'Perfect' quant variants (Q8–Q2) and an mmproj for vision. Suited for offline research and experimentation; not for use-cases requiring safety filters.

#huggingface#llm#vision#foundation-model#ai-image+1
Hugging Face
AI Dataset·2026
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GLM-5.1-Reasoning-1M-Cleaned

Jackrong, Kassadin88

Provides a cleaned, SFT-ready collection of ~746k GLM-5.1 reasoning traces for instruction tuning and reasoning distillation. Normalizes varied chain-of-thought formats into a single conversations/input/output schema and preserves four focused subsets (main, PHD-Science, Multilingual‑STEM, Math).

#huggingface#llm#nlp#math#science+1
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