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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… …
… Run the latest Qwen model locally with LM Studio on supported AMD hardware. Build and ship local AI applications with Lemonade and first-class AMD inference support. …
… Step 2: Start the AMD ROCm vLLM Backend Run the following command on your AMD Developer Cloud instance: sudo docker run -d \ --name vllm \ --network=vllm-sr-network \ --restart unless-stopped \ -p "${VLLM PORT 122B:-8090}:8000" \ -v "${VLLM HF CACHE:-/mnt/data/huggingface-cache}:/root/.cache/huggi … …
… 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 \ … …
OpenCLaw on AMD Developer Cloud: Free Deployment with Qwen 3.5 and SGLang Mar 16, 2026 OpenClaw stands out because it gives users meaningful control over what their agent can do. …
… Local Qwen 2.5 1.5B comparison between TGP and vLLM Image Zoom Figure 3. Qwen 2.5 1.5B local benchmark: GPU VRAM by segment. …
Vibe Coding with Local Models This is an intermediate level class to learn how to harness the on-device power of the AMD Ryzen AI Max 395 to run large coding models locally using Lemonade Server — no cloud, no API keys, all local Learn how to architect specialized AI agents with Qwen Coder and watc… …
… New LLM Model Support DeepSeek-R1 Distill Series: Llama-8B, Qwen-1.5B, Qwen-7B Qwen2 Series: Qwen2-1.5B, Qwen2-7B Gemma2-2B AMD-OLMO-1B-SFT-DPO Codellama-7B, Mistral-7B and more Full Release Notes Technical Resources GAIA: An Open-Source Project from AMD for Running Local LLMs on Ryzen™ AI Introduc… …
… Personal AI Agent with OpenClaw and Qwen3.5-122B Deploy a fully local AI agent on AMD Instinct™ MI300X GPU. …