Local LLM model page
Qwen 2.5 (7B)
Alibaba's 18T token trained model. Excellent multilingual and coding. 14.9M downloads. Wide community support.
Parameters
7B
Minimum RAM
8 GB
Model size
4.5 GB
Quantization
Q4_K_M
Can Qwen 2.5 (7B) run locally?
Qwen 2.5 (7B) is best suited for entry-level laptops and desktops. LocalClaw recommends Q4_K_M as the default quantization, with at least 8 GB RAM.
Search term for LM Studio or compatible runtimes: qwen2.5-7b-instruct
Hugging Face repository: lmstudio-community/Qwen2.5-7B-Instruct-GGUF
chatcodestandardgeneral
Strengths
- 18T tokens of training — most trained 7B
- 14.9M downloads
- 128K context
- Apache 2.0
- Wide community support
Limitations
- Superseded by Qwen 3 family
- Not the best at reasoning
Best use cases
- General chat
- Coding
- Multilingual tasks
- Content generation
Benchmarks
Speed: 8/10
Quality: 7/10
Coding: 8/10
Reasoning: 7/10
Technical details
Developer: Alibaba Cloud (Qwen Team)
License: Apache 2.0
Context window: 131,072 tokens
Architecture: Transformer decoder-only
Released: 2024-09