All tags
Model: "qwen3.8-2.4t-a95b"
not much happened today
glm-5.3 qwen3.8-27b qwen3.8-2.4t-a95b deepseek-v4-pro dots3-note z-ai alibaba deepseek rednote vllm together-ai fireworks modal digitalocean deepinfra unsloth post-training reinforcement-learning agent-runtimes long-horizon-training multimodality model-infrastructure runtime-architecture model-benchmarking open-weight apache-2.0-license model-optimization multimodal-models mixture-of-experts context-windows
Z.ai launched GLM-5.3, a coding- and cyber-focused model with significant gains on agentic and security benchmarks, achieved through scaled post-training rather than a larger base model. Alibaba released Qwen3.8-27B, a native multimodal dense model under Apache 2.0 with a 262K native context extendable to 1M, designed for real-world coding and office workflows, with broad inference support from multiple platforms. DeepSeek V4-Pro and RedNote's dots3-note, a 280B multimodal MoE model with 16B active parameters and 512K context, continue the China open-model wave, introducing new RL methods like TEMPO for long-horizon self-evaluation. The ecosystem features multiple Chinese labs specializing in open models with different strengths. DeepSeek's harness is highlighted as a modular agent runtime infrastructure with replaceable components and lifecycle management via Cordis.