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Contents

Hugging Face
AI Model·2026
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Qwable 27B

Mia-AiLab, unsloth (base model)

Fine-tuned full checkpoint of the Qwen3.6-27B base that produces structured, trace-style assistant outputs for code, technical reasoning, and instruction-following. Packaged for local GGUF conversion and local inference; not a LoRA adapter and not validated for production use.

#qwen#llm#code#transformers#huggingface+1
Computer Vision Papers·2026
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ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining

Hao Li, Ganlong Zhao +9

Converts large-scale egocentric human videos into robot-format pseudo-action trajectories and introduces ACE-EGO-0, a VLA pretraining framework that unifies camera-space actions, morphology conditioning, and reliability-aware weighting to jointly learn from noisy human and high-quality robot data for improved robotic manipulation transfer.

#vision#robotics#video#paper#multimodal+1
Hugging Face
AI Dataset·2026
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ABC-130k

XDOF, UC Berkeley +3

Provides 130k+ bimanual teleoperation trajectories for robot imitation learning, recorded on low-cost YAM two-arm rigs and shared as MCAP episodes with subtask annotations, training code, and checkpoints.

#robotics#video#huggingface#ai-train#ai-development
GitHub
AI Agent·2026
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nodeterm

Enes Kirca

Manages real tmux-backed terminals and AI agents as draggable nodes on an infinite pan/zoom canvas, with a Trello-style kanban view, persistent sessions that survive restarts, mobile companion support, and a browser Server Edition for self-hosting.

#terminal#coding-agents#ai-agent#claude-code#claude+6
Hugging Face
AI Model·2026
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GLM-5.2

Z.ai (zai-org)

Provides a large language model optimized for long-horizon agentic tasks and end-to-end coding workflows — with a stable 1,000,000-token context, IndexShare sparse-attention and multi-level thinking-effort modes. MIT-licensed and designed for deployments that need sustained long-context reasoning and coding.

#foundation-model#vibe-coding#deepseek#transformers#llm+4
Large Language Model Papers·2026
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LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling

Jian Yang, Shawn Guo +17

Uses Parallel Looped Transformers (PLT) to make loop count a practical knob for code models, finding two loops give the best test-time gains. Trains 7B models on 18T tokens and attributes saturation beyond two loops to a gain–cost tradeoff from positional mismatch.

#paper#code#LLM#transformers#ai-coding+1
AI Agent Papers·2026
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GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?

Tongxu Luo, Rongsheng Wang +23

Assesses whether coding agents can generate complete, playable games end-to-end inside the Godot engine. Implements an interaction-grounded evaluation (replayed demonstrations + rubric-guided multimodal judging) across 140 tasks and 15 game families; top agents score ~41%.

#evaluation#ai-coding#agent-skills#multimodal#paper+1
Hugging Face
AI Dataset·2026
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CancerVerse

BodyMaps

De-identified longitudinal multimodal CT dataset for multicancer screening that pairs ~24k CT volumes with radiology reports and voxel-wise tumor annotations across 13 cancer types. Designed for longitudinal disease modeling, detection/segmentation and vision–language research; CC BY‑NC‑ND 4.0 for non-commercial use.

#multimodal#segmentation#vision#image#benchmark+3
Hugging Face
AI Image·2026
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Krea 2 (Comfy-Org/Krea-2)

Comfy-Org, Krea

Provides ComfyUI-ready repackaged checkpoints of the Krea 2 image model family for local text-to-image workflows. Includes RAW (undistilled base for fine-tuning and LoRA training) and Turbo (8-step distilled checkpoint for fast inference), using a Qwen Image VAE and Qwen3‑VL encoder.

#qwen#diffusers#huggingface#ai-image#image+2
Hugging Face
AI Model·2026
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GLM-5.2-FP8

zai-org, GLM-5 Team +1

Provides FP8-quantized weights of GLM-5.2 — a 744B long-context LLM tuned for sustained 1M-token engineering, coding and agentic workflows; compatible with vLLM, Transformers, SGLang and Ascend NPU deployments.

#foundation-model#vibe-coding#transformers#huggingface#llm+4
Embodied AI·2026
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Guava: An Effective and Universal Harness for Embodied Manipulation

Haowen Liu, Xirui Li +6

Provides a harness that lets language models control embodied manipulation via iterative perception–reasoning–action loops, semantic action abstractions, and multimodal observations. Demonstrates distilling capabilities into a 4B open-source model with under 2K simulated trajectories and shows sim-to-real generalization.

#robotics#multimodal#LLM#agent-skills#vision+2
Reinforcement Learning Papers·2026
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Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients

Byung-Kwan Lee, Ximing Lu +9

Proposes ZPPO, a distillation method that keeps the teacher inside prompts rather than injecting teacher gradients, using binary- and negative-candidate prompts plus a prompt replay buffer to recover learning signal on hard examples; shows gains for small Qwen3.5 students across 31 multimodal benchmarks.

#qwen#RL#llm#multimodal#vision+2
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