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Topic: "apache-license"
not much happened today
glm-4.5 glm-4.5-air qwen3-coder qwen3-235b kimi-k2 wan-2.2 grok-imagine smollm3 figure-01 figure-02 vitpose++ zhipu-ai alibaba moonshot-ai x-ai ideogram figure smollm openai model-releases moe model-benchmarking image-generation video-generation pose-estimation robotics training-code-release apache-license yuchenj_uw corbtt cline reach_vb ollama deeplearningai ostrisai hojonathanho adcock_brett skalskip92 loubnabenallal1
Chinese labs have released a wave of powerful, permissively licensed models in July, including Zhipu AI's GLM-4.5 and GLM-4.5-Air, Alibaba's Qwen3 Coder and Qwen3-235B, and Moonshot AI's Kimi K2. These models feature large-scale Mixture of Experts architectures with active parameters ranging from 3B to 32B and context windows up to 256K tokens. Zhipu AI's GLM-4.5 competes with Claude 4 Opus and Gemini 2.5 Pro in benchmarks. Moonshot AI's Kimi K2 is a 1 trillion-parameter MoE model surpassing other open-weight models on LiveCodeBench and AceBench. In video and image generation, xAI launched Grok Imagine, and Wan2.2 impressed with its Image-to-Video approach. Ideogram released a character consistency model. Robotics advances include Figure's Figure-01 and Figure-02 humanoid robots and ViTPose++ for pose estimation in basketball analysis. The SmolLM3 training and evaluation code was fully released under an Apache 2.0 license. "Orgs avoiding these Chinese open-source models are at a significant competitive disadvantage," noted by @corbtt.
LlamaCon: Meta AI gets into the Llama API platform business
llama-4 qwen3 qwen3-235b-a22b qwen3-30b-a3b qwen3-4b qwen2-5-72b-instruct o3-mini meta-ai-fair cerebras groq alibaba vllm ollama llamaindex hugging-face llama-cpp model-release fine-tuning reinforcement-learning moe multilingual-models model-optimization model-deployment coding benchmarking apache-license reach_vb huybery teortaxestex awnihannun thezachmueller
Meta celebrated progress in the Llama ecosystem at LlamaCon, launching an AI Developer platform with finetuning and fast inference powered by Cerebras and Groq hardware, though it remains waitlisted. Meanwhile, Alibaba released the Qwen3 family of large language models, including two MoE models and six dense models ranging from 0.6B to 235B parameters, with the flagship Qwen3-235B-A22B achieving competitive benchmark results and supporting 119 languages and dialects. The Qwen3 models are optimized for coding and agentic capabilities, are Apache 2.0 licensed, and have broad deployment support including local usage with tools like vLLM, Ollama, and llama.cpp. Community feedback highlights Qwen3's scalable performance and superiority over models like OpenAI's o3-mini.