LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
1. Model Summary 2. Use 3. Limitations 4. Training 5. Evaluation 7. Citation
Qwen2 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. This repo contains the instruction-tuned 1.5B Qwen2…
Qwen2 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. This repo contains the 0.5B Qwen2 base language mod…
[!Warning] 🚨 Qwen2.5-Math mainly supports solving English and Chinese math problems through CoT and TIR. We do not recommend using this series of models for other tasks.
Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
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Description: The NVIDIA MiniMax-M2.5-NVFP4 model is the quantized version of MiniMax's MiniMax-M2.5 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA MiniMax-M2.5 NVFP4 model is q…
Qwen3-Coder is available in multiple sizes. Today, we're excited to introduce Qwen3-Coder-30B-A3B-Instruct . This streamlined model maintains impressive performance and efficiency, featuring the following key enhancements: