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All technical deep dives, system architectures, and AI breakdowns, ordered by date.
Open Weights & Code LLMsTencent's Hy team released Hy4 preview — 770B total, 49B active, 1M-token context, full weights under Apache 2.0 on Hugging Face with an FP8 variant and official vLLM/SGLang recipes. A preview with real limitations, but the most permissive flagship license in the open-field race so far.
Open Weights & Code LLMsTwo weeks after launch, Z.ai published the full GLM-5.3 weights on Hugging Face: 753B parameters in FP8, a 1M-token context, and a custom license that requires a security review before giant MaaS providers can use it commercially. Here is what is actually downloadable, and what it means.
Open Weights & Code LLMsAlibaba's Qwen team released Qwen3.8-Flash-Next as open weights on Hugging Face — a 125B-parameter MoE model with only 6B active per token, redesigned across attention, residuals, embeddings, and optimizer to preview the architecture behind the upcoming Qwen4 family.
Open Weights & Code LLMsZ.ai's GLM-5.3-Flash is the first natively multimodal GLM-5 model: 320B total parameters, 18B active, a 1M-token context window, and MIT-licensed weights already on Hugging Face.