Qwen Releases Open Weights for 27B Multimodal Model
The 27B model is now available on Ollama for agentic coding and professional tasks.
Alibaba's Qwen account posted that it released open weights for Qwen3.8-27B under an Apache 2.0 license. The native multimodal model runs on Ollama, where users can launch it with existing harnesses such as Claude Code or OpenCode. Official messages from the Qwen and Ollama accounts describe the model as suitable for agentic coding, browser tasks, and professional work. Engineers and researchers quoted in the posts shared the announcement and noted its performance at this size.
We promised open weights for Qwen3.8. Now, time to meet them! 🎉 ⚡ Qwen3.8-27B: - A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows. - 262K native context, easily extendable to 1M…
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33 postsCH 
Chubby♨️@kimmonismusQwen-3.8 27b released! Significant jump! Qwen just released Qwen3.8-27B, a compact open-weight multimodal model that reportedly competes with much larger frontier systems. Despite having only 27B parameters, it claims state-of-the-art results in agentic coding, computer use,…
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QW Qwen@Alibaba_Qwen@kimmonismus A significant jump from a dense model. Give Qwen3.8-27B a try!😆
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UA Unsloth AI@UnslothAIQwen3.8-27B can now be run locally! ✨ Run on 17GB RAM via Unsloth Dynamic GGUFs. Qwen3.8-27B is by far the strongest model for its size. We also uploaded NVFP4 quants. GGUF: Guide: https://unsloth.ai/docs/models/qwen3.8
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NA Nathan@nathanhabib1011🚨 ITS HERE🚨 ⚡Qwen3.8-27B - Multimodal dense model. With just 27B parameters, it outperforms most models on the @huggingface leaderboards.. - Built for builders: Apache 2.0 license Swe-Bench Pro, Deep-Swe and Claw-Eval, those 3 benchmarks evaluate how good a model is at being…
- likes: 13
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KR A( apolinario (poli)@multimodalartwtf? Qwen3.8-27B is already the #4 most liked model on hugging face of ALL TIMES
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