Quick start
ollama run qwen2.5Available sizes
| Tag | Size | Quantization | Context | Min RAM |
|---|---|---|---|---|
| qwen2.5:3b | 1.9GB | q4_k_m | 32K context | 2.4 GB |
| qwen2.5:latest | 4.7GB | q4_k_m | 32K context | 5.9 GB |
| qwen2.5:14b | 9.0GB | q4_k_m | 32K context | 11.2 GB |
| qwen2.5:32b | 20GB | q4_k_m | 32K context | 25 GB |
| qwen2.5:72b | 47GB | q4_k_m | 32K context | 58.8 GB |
Run with
Claude Code
ollama launch claude --model qwen2.5Codex
ollama launch codex --model qwen2.5OpenCode
ollama launch opencode --model qwen2.5OpenClaw
ollama launch openclaw --model qwen2.5Strengths & Limitations
Strengths
- Large-scale pretraining
- Long context window (128K tokens)
- Multilingual support
Related models
llama3.1Language
Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.
110.5M pullsllama3.2Language
Meta's Llama 3.2 goes small with 1B and 3B models.
58.0M pullsmistralLanguage
The 7B model released by Mistral AI, updated to version 0.3.
25.6M pullsqwen3Language
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
19.8M pulls