Qwen
The open-weight LLM king challenging GPT-4 and Llama 3.1
Open SourceLLMCoding AssistantLocal AIMultimodal
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LinkStart Verdict
Qwen 2.5 has quietly become the de facto standard for local LLM users, often outperforming Meta's Llama 3.1 in coding and mathematics. While standard models like GPT-4o are great, Qwen's ability to run a 'GPT-4 class' coding assistant on a local 24GB VRAM GPU is a game-changer. It's not just a model; it's an ecosystem with specialized variants (Coder, Math, VL) that allows developers and researchers to bypass API costs entirely.
Why we love it
- Rivals GPT-4o in coding tasks (Coder 32B)
- Runs locally on consumer hardware
- Massive ecosystem of quantizations (GGUF)
- Excellent multilingual support
Things to know
- Can be overly agreeable (sycophancy issues)
- Base models have safety filters (requires tweaks)
- Requires decent VRAM for larger models
About
Qwen 2.5 is Alibaba Cloud's flagship series of large language models, ranging from 0.5B to 72B parameters. It specializes in coding, mathematics, and multimodal understanding, offering performance that rivals proprietary giants like GPT-4o while being runnable locally on consumer GPUs.
Key Features
- ✓Qwen-Coder specialized models
- ✓Multimodal capabilities (Qwen2.5-VL)
- ✓Wide range of sizes (0.5B to 72B)
- ✓Long context window support
- ✓Strong math reasoning