qwenlm.github.io · Open Weight Models
Alibaba's Qwen model series, spanning dense and MoE language models plus vision, audio and coding variants, mostly under permissive licences.
Qwen is one of 20 open weight model tools on Axiomi. See all open weight model tools or how we check facts.
// guides
SGLang vs vLLM on DGX Spark compared on setup, memory, NVFP4 models, speed and clustering, so you can pick the right server for your GB10 desktop.
The best local LLM for image generation is really an open image model. Our picks by GPU and license: FLUX 3 Klein, Z-Image Turbo, Qwen-Image 2.1 and more.
How to fine tune an LLM for code generation: pick a coder base model, build an instruction or FIM dataset, train a LoRA with TRL or Unsloth, test with pass@k.
Run DeepSeek Locally with Ollama: pick R1 distill tags by download size, set context length, handle thinking output, and know when 671B V3 is server only.
Run Qwen 3.6 locally with Ollama, llama.cpp or LM Studio: pick 27B or 35B-A3B by VRAM, thinking mode, vision tips, MTP speedups and sampling settings.
Wire a local LLM into VS Code with Ollama: official Chat extension, Continue.dev for tab complete, model picks by VRAM, and privacy tips for offline coding.
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