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open-weight model

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ShiZhen AI
ShiZhen AI
Sep 21, 2026 · Artificial Intelligence

Qwen-Image-2.1: 7B DiT Unifies Text-to-Image, Editing & Transparent Output

Qwen-Image-2.1 releases a 7B-parameter Single-Stream DiT that unifies text-to-image, multi-reference editing up to 10 images, native RGBA transparency, and local region editing, with 33.1GB BF16 weights under a non-commercial research license and a self-reported 60.28 benchmark score.

DiTQwen-Image-2.1RGBA transparency
0 likes · 12 min read
Qwen-Image-2.1: 7B DiT Unifies Text-to-Image, Editing & Transparent Output
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 16, 2026 · Artificial Intelligence

Inkling – A 975‑Billion‑Parameter Open‑Weight Multimodal Model from Thinking Machines

Thinking Machines Lab unveiled Inkling, a 975‑billion‑parameter open‑weight multimodal model featuring a hybrid‑expert Transformer, 1‑million‑token context, and extensive benchmark results, alongside the lighter Inkling‑Small, with detailed architecture, training methodology, reinforcement‑learning enhancements, and practical examples of web‑app generation and tool‑calling.

InklingMixture of Expertsbenchmark
0 likes · 15 min read
Inkling – A 975‑Billion‑Parameter Open‑Weight Multimodal Model from Thinking Machines