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Contents

Hugging Face
AI Dataset·2026
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Syn4D: A Multiview Synthetic 4D Dataset

Zeren Jiang, Yushi Lan +9·Visual Geometry Group, University of Oxford, Nanyang Technological University +1

Provides multiview synthetic RGB video clips with per-frame depth, instance masks, dense long-range 3D point tracks, camera poses, and SMPL‑X human pose/shape labels for 4D reconstruction, tracking, and geometry-aware novel-view synthesis. Includes ~4.7K clips (1.4M frames) and is licensed for AI training.

#vision#depth#video#multimodal#huggingface+2
Hugging Face
AI Dataset·2026
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MatrAIx Persona 1M

MatrAIx2026

Provides 999,847 persona records—599,847 grounded from real sources and 400,000 synthetic—each encoded as 1,290 categorical attributes packed into 645-byte Parquet blobs. Includes a codebook, postings index, and calibration/audit artifacts; decode with pyarrow and persona_codes.schema.json.

#parquet#pandas#polars#huggingface#nlp+2
Hugging Face
AI Audio·2026
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Gepard

Nineninesix, Inc., NVIDIA +1

Generates streaming, low‑latency neural speech for real‑time dialogue by autoregressively producing audio frames as text arrives; joint text–speech training preserves natural prosody. Optimized for vLLM streaming (~50 ms first chunk), supports short‑clip voice cloning and four languages.

#tts#vllm#qwen#transformers#huggingface+5
Hugging Face
AI Model·2026
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Agents-A1: Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Lei Bai, Zongsheng Cao +48

35B Mixture-of-Experts agent model for long-horizon, multi-domain agent workflows; trained with a knowledge–action infrastructure that produces ~45K-token trajectories and supports native tool calling and function integration for research and deployment.

#transformers#huggingface#vllm#llm#agent-skills+3
GitHub
AI Agent·2026
GitHub

BrowserSkill

Tencent

Lets AI agents use a user's logged-in Chromium browser to read pages, fill forms, capture screenshots, and debug web workflows in an isolated Agent Window so the user's normal browsing is not interrupted.

#agent-skills#deepseek#cli#rust#typescript+3
Hugging Face
AI Model·2026
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Qwen-AgentWorld-35B-A3B

Yuxin Zuo, Zikai Xiao +8

Simulates agentic environments and predicts next environment states from actions and interaction history using a language-based world model across seven domains. Trained via a CPT→SFT→RL pipeline with an MoE architecture and very long context; intended for environment simulation and agent research.

#qwen#llm#transformers#vllm#huggingface+4
Hugging Face
AI Dataset·2026
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AgentWorldBench

Qwen

Provides 2,170 reference-grounded evaluation samples across seven agent domains (MCP, Search, Terminal, SWE, Android, Web, OS) to score language world models on Format, Factuality, Consistency, Realism and Quality. Includes per-domain JSONL files, judge prompts and an evaluation script for reproducible scoring.

#qwen#evaluation#huggingface#ai-agent#agent-skills+6
Hugging Face
AI Dataset·2026
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bigfacing/GOKU-2M

Sen Liang, Cong Wang +9·University of Science and Technology of China, Tencent Hunyuan

Provides ~2 million instruction-aligned video-edit pairs for training and evaluating instruction-based video editing and generation models. Covers multi-task and structural edits (e.g., camera/subject movement), produced via a synthesis pipeline with progressive filtering; licensed CC BY-NC-4.0.

#ai-video#video#huggingface#multimodal#AIGC
GitHub
AI Client·2026
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God's Eye View

Bilawal Sidhu, Sameh Khamis·Halfpixel

Browser-based photorealistic 3D globe that visualizes live public signals — flights, ships, satellites, earthquakes, traffic and public cameras — paired with a realtime AI voice agent for entity Q&A, scene summaries and hands‑free navigation.

#javascript#nodejs#voice#openai#ai-agent+4
Hugging Face
AI Dataset·2026
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GOKU-2M

Goku-2M

Multimodal video dataset for text-to-video and video-to-video research: about 2 million short English videos and extracted frames for instruction-based video editing and generation. Hosted on Hugging Face and licensed CC BY‑NC 4.0 (non-commercial).

#huggingface#video#ai-video#multimodal#image+1
Hugging Face
AI Model·2026
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NVIDIA GLM-5.2 NVFP4

NVIDIA, Z.ai

Provides a pre-quantized NVFP4 checkpoint of GLM-5.2 for long-context reasoning and coding; reduces model footprint so GLM-5.2 can run on multi‑GPU Blackwell nodes and is ready for inference with SGLang and vLLM.

#nvidia#huggingface#llm#vllm#tensorrt+5
Hugging Face
AI Model·2026
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nvidia/Qwen3.6-27B-NVFP4

NVIDIA, Alibaba Group (Qwen Team)

NVFP4-quantized variant of Qwen3.6-27B that reduces parameter bits from 16 to 4, cutting disk and GPU memory requirements by ~2.5× while keeping comparable benchmark accuracy; ready for vLLM-based inference on NVIDIA hardware and supports long, multimodal contexts.

#nvidia#qwen#vllm#huggingface#llm+6
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