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Open-Weight Models

342 summarised stories about Open-Weight Models, each linking back to the original source. Browse all topics →

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Thursday, 27 August 2026

Deep Learning Weekly: Issue 470

Deep Learning Weekly 1 month ago 45 ● 2 sources

Z.ai open-sourced GLM-5.3-Flash, a stealth “Ox Alpha” mixture-of-experts model with hybrid sparse-plus-linear attention and a 1M-token multimodal context, and multiple other deep-learning updates were shared alongside it. The issue’s FreeToken paper reports edge-native MoE serving that supports running a 753B GLM-5.2 on a single workstation GPU. Benchmarks and tool writeups in the issue shift focus toward more practical local/edge deployment and evaluating real-world LLM/agent behavior rather than only final answers.

😺 Nvidia's buying Hugging Face for $12.9B

The Neuron 1 month ago 16 ● 5 sources

Nvidia agreed to buy Hugging Face for $12.9 billion, positioning the company to control more of the AI model software ecosystem. The deal price is $12.9B. The acquisition would shift Hugging Face from an independently branded platform to Nvidia ownership, changing who ultimately decides where and how models and datasets are hosted.

Anthropic’s Watermarks, Grok 4.6 Surges, Qwen’s Open Weights, Better Corrections for Speech Recognition

The Batch 4

SpaceXAI introduced Grok 4.6, a vision-language model aimed at long-running agentic work, and is shipping it through developer channels. The Grok 4.6 API price is $2.00 per million input tokens. Developers can now access the model via Cursor, Grok Build, and related add-ins, with consumer Grok apps planned for later.

Nvidia Could Acquire Hugging Face for $13 Billion

Trending Topics 1 month ago 12 ● 3 sources

Nvidia agreed to acquire Hugging Face, according to The Information, though no signed deal had been announced yet and neither company commented. The reported price is $12.9 billion. If completed, the acquisition would strengthen Nvidia’s position in open-source AI while potentially helping it re-enter cloud computing by routing unused customer capacity to Hugging Face.

Z.ai open-sources ‘Ox Alpha’ model as GLM-5.3-Flash

SiliconANGLE 1 month ago 31 ● 2 sources

Z.ai released the code for GLM-5.3-Flash after its earlier Ox Alpha debut. The model activates 18 billion of its 320 billion parameters and is described as costing 10 times less to run than the prior generation. With sparse and linear attention changes plus mHC training, it reduces RAM and computation overhead while targeting strong benchmark performance and making weights available on Hugging Face.

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