Qwen (@Alibaba_Qwen) / X

Qwen

910 posts

Qwen

@Alibaba_Qwen

Open foundation models for AGI.

Joined February 2024

Pinned
Qwen
@Alibaba_Qwen
Jun 1
👏👏 Introducing Qwen3.7-Plus — a multimodal agent model that unifies vision and language into one versatile agent foundation. ✅ Multimodal interactive hybrid agent: unified GUI & CLI operation across visual and text tasks ✅ Versatile coding agent & productivity assistant with
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Qwen
@Alibaba_Qwen
Jun 24
📣📣 Meet Qwen-AgentWorld — a native language world model that simulates 7 agent environments (MCP, Search, Terminal, SWE, Web, OS, Android) within a single model. Environment modeling is the training objective from day one, not a post-hoc adaptation. 🤔 LLMs are trained to be
1M
Qwen
@Alibaba_Qwen
Jun 24
Replying to @Alibaba_Qwen
🧠 Paradigm II — Agent Foundation Model: world modeling as agent capability. Single-turn, non-agentic environment prediction → tested directly on multi-turn, tool-calling agent tasks. No agentic RL, no task-specific tuning. Gains across 7 benchmarks, including 3 entirely
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Qwen
@Alibaba_Qwen
Jun 24
We open-source Qwen-AgentWorld-35B-A3B (MoE, 35B/3B active, 256K context) and AgentWorldBench. Two routes, one roadmap: 🔬 Build the simulator — scalable, controllable, surpassing real environments 🧠 Internalize world modeling — predict before you act Qwen-AgentWorld is our
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Qwen
@Alibaba_Qwen
Jun 16
📣 Introducing the Qwen-Robot Suite — Qwen-RobotNav, Qwen-RobotManip, Qwen-RobotWorld, three foundation models, a full stack for embodied intelligence. 🧭 Qwen-RobotNav — the gateway to mobility. • Unifies 5 navigation tasks in one model: instruction following, point-goal,
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Qwen
@Alibaba_Qwen
Jun 16
Replying to @Alibaba_Qwen
By treating natural language as a universal action interface，Qwen-RobotWorld bridges the gap between general video generation models and domain-specific embodied models — this converts end-effector poses, steering commands, and navigation waypoints into a single interface,
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Qwen
@Alibaba_Qwen
Jun 16
Qwen-Robot Suite，enable AI from chatbot to physical action in the real world. More demos, please visit our blog:qwen.ai/blog?id=qwen-r…
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Qwen
@Alibaba_Qwen
Jun 1
Replying to @Alibaba_Qwen
Demo2: Multimodal Interactive Hybrid Agent
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Qwen
@Alibaba_Qwen
Jun 1
Demo3：Browser Agent
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Qwen
@Alibaba_Qwen
May 28
📢Qwen3.7-Max just hit #3 on ITbench-AA — a fresh benchmark testing how well models handle real-world enterprise IT tasks, agentic-style. 🔧Agentic era, go with Qwen.🏃🏃
Artificial Analysis
@ArtificialAnlys
May 27
Artificial Analysis and IBM Research are launching ITBench-AA, the first in a new series of benchmarks evaluating models on agentic enterprise IT tasks, starting with Site Reliability Engineering tasks where frontier models score below 50% ITBench-AA’s SRE tasks benchmark model
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Qwen
@Alibaba_Qwen
May 27
Fast, faster, Qwen. 🚀 Thrilled to see Qwen3.5 reaching a record-breaking 580 tps for agentic workloads on the TokenSpeed engine! This milestone wouldn't be possible without our incredible partners. Huge thanks to @lightseekorg, @NVIDIAAI, the Mooncake team, and @tri_dao for
PyTorch
@PyTorch
May 27
The speed-of-light optimization for Qwen3.5 on the TokenSpeed inference engine is a significant milestone, achieving a record-breaking 580 tokens per second (tps) for agentic workloads on NVIDIA GPUs. In the PyTorch Foundation's latest community blog post, you can learn all
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Qwen
@Alibaba_Qwen
May 27
🚀🚀
Nous Research
@NousResearch
May 26
Qwen 3.7 Max is now supported in Hermes Agent
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