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For the first time, Qwen3.8 brings a Qwen-Max-class model to open release. Built on the architectural foundation of Qwen3.5, Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks. Beyond answering harder questions, Qwen3.8 is designed to carry complex, multi-step tasks through to completion with greater reliability. Qwen3.8 features the following enhancements: Core Capabilities: Comprehensive improvements across coding, professional work, research, and long-horizon agentic tasks. Agent Execution: Stronger autonomous planning and better ha
Day 0 Support for Qwen 3.8 on AMD Instinct GPUs… Figure 3: Qwen code deployment Step 1: Install node.js bash curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash nvm install --lts nvm use --lts node -v npm -v Step 2: install Qwen code bash Install Qwen Code npm install -g @qwen-code/qwen-code@latest verify qwen --versio… …
… How many eggs does she sell?\nAnswer:", "max tokens": 64, "temperature": 0 Step 4 Optional — Accuracy Evaluation GSM8K MXFP4 on MI355X TP8, single node SGLang built-in benchmark: python3 -m sglang.test.run eval \ --port 9001 \ --model /mnt/models/Qwen3.8-2.4T-A95B-Quark-MXFP4 \ --eval-name gsm8k \ … …