Qwen
Alibaba's open-weight model family, strong on multilingual and coding tasks.
Overview
Qwen is an open-weight language model family from Alibaba, released in a range of sizes and with a strong showing on multilingual and code benchmarks. It solves the same problem as other open-weight models: letting a team run a capable model without depending on a closed API. It exists as one of the few families that publishes both very small and very large variants, which makes it a common default when you need a model that fits a specific memory budget.
Technology Graph
How Qwen connects to the rest of the stack.
Uses and depends on
- Transformer architecture Algorithms Qwen based on Transformer High ✓ source
Applied to
- LoRA technique Techniques LoRA used for Qwen High ✓ source
- Ollama tool Infrastructure Ollama used for Qwen High ✓ source
- Quantization technique Techniques Quantization used for Qwen High ✓ source
- TensorRT-LLM tool Infrastructure TensorRT-LLM used for Qwen High ✓ source
- llama.cpp tool Infrastructure llama.cpp used for Qwen High ✓ source
- vLLM tool Infrastructure vLLM used for Qwen High ✓ source
Tools
Software that implements or integrates with Qwen.
LLM Frameworks
Alternatives
Comparisons
Side-by-side breakdowns with the alternatives above.