Can my computer run Qwen 2.5 Coder 7B?
Strong all-round coding model with tool use. Qwen 2.5 Coder 7B needs about 5.3 GB of memory. It runs comfortably on Macs with 8 GB or more, and on PCs with 8 GB of RAM or more, even without a graphics card.
Qwen 2.5 Coder 7B on common computers
Graded with Toskar 1.12.1's own estimate: the model file plus working memory at an 8K context.
| Computer | Fit | What to expect |
|---|---|---|
| Mac, 8 GB | Excellent fit | Plenty of memory to spare. |
| Mac, 16 GB | Excellent fit | Plenty of memory to spare. |
| Mac, 24 GB | Excellent fit | Plenty of memory to spare. |
| Mac, 32 GB | Excellent fit | Plenty of memory to spare. |
| Mac, 48 GB | Excellent fit | Plenty of memory to spare. |
| Mac, 64 GB | Excellent fit | Plenty of memory to spare. |
| Mac, 128 GB | Excellent fit | Plenty of memory to spare. |
| PC, 8 GB, no graphics card | Excellent fit | Plenty of memory to spare. |
| PC, 16 GB, no graphics card | Excellent fit | Plenty of memory to spare. |
| PC, 32 GB, no graphics card | Excellent fit | Plenty of memory to spare. |
| PC, 16 GB + 8 GB graphics card | Excellent fit | Plenty of memory to spare. Good GPU fit. |
| PC, 32 GB + 12 GB graphics card | Excellent fit | Plenty of memory to spare. Good GPU fit. |
| PC, 32 GB + 16 GB graphics card | Excellent fit | Plenty of memory to spare. Good GPU fit. |
| PC, 64 GB + 24 GB graphics card | Excellent fit | Plenty of memory to spare. Good GPU fit. |
About Qwen 2.5 Coder 7B
- Memory needed
- ≈ 5.3 GB
- Download size
- 4.4 GB
- Parameters
- 7B
- Quantization
- Q4_K_M
- Longest conversation
- 32K tokens
- License
- Apache-2.0
Good at
- Chat and writing
- Coding
- Uses tools, such as web search and your files
Languages it handles well
English
Similar models to compare
- Qwen 2.5 Coder 1.5B≈ 1.6 GB
Very fast coding assistant for quick edits and small tasks.
- Qwen 2.5 Coder 14B≈ 9.7 GB
Excellent programming model for larger refactors and multi-file work.
Questions
- How much memory does Qwen 2.5 Coder 7B need?
- About 5.3 GB with Toskar's default 8K context: the 4.4 GB model file plus room for the conversation. After it has run once, Toskar measures what it really uses on your computer.
- Can Qwen 2.5 Coder 7B run on a Mac with 8 GB?
- Yes. Qwen 2.5 Coder 7B runs comfortably on a Mac with 8 GB, using about 5.3 GB.
- Can Qwen 2.5 Coder 7B run without a graphics card?
- Yes. Qwen 2.5 Coder 7B runs comfortably on a PC with 16 GB of RAM and no graphics card, using about 5.3 GB. Without a graphics card it runs on the processor, so it answers more slowly than with one. On a Mac with Apple silicon, the graphics share the Mac's memory, so no separate card is needed.
- Is Qwen 2.5 Coder 7B free to use?
- Yes. Toskar Core is free and open source, and it downloads Qwen 2.5 Coder 7B for you at no cost. The model's own license is Apache-2.0. Everything runs on your computer, so there's no per-question bill.
Every model
- Llama 3.2 1B≈ 1.3 GB
- Qwen 2.5 Coder 1.5B≈ 1.6 GB
- DeepSeek R1 Distill 1.5B≈ 1.6 GB
- Gemma 2 2B≈ 2.2 GB
- Qwen 2.5 3B≈ 2.5 GB
- Llama 3.2 3B≈ 2.6 GB
- Phi 3.5 Mini≈ 3.0 GB
- Gemma 3 4B≈ 3.9 GB
- Qwen 3.5 4B≈ 3.9 GB
- Mistral 7B Instruct≈ 5.0 GB
- Qwen 2.5 Coder 7B≈ 5.3 GB
- Qwen 2.5 7B≈ 5.3 GB
- DeepSeek R1 Distill 7B≈ 5.3 GB
- Qwen 2.5 VL 7B≈ 6.1 GB
- Gemma 2 9B≈ 6.5 GB
- Qwen 3.5 9B≈ 7.2 GB
- Qwen 2.5 Coder 14B≈ 9.7 GB
- Qwen 2.5 14B≈ 10.2 GB
- Muse Glimmer 30B≈ 17.1 GB
- Qwen 3.8 27B≈ 20.4 GB
- Qwen 2.5 32B≈ 21.5 GB
Run Qwen 2.5 Coder 7B with Toskar
Toskar Core is free and open source for Mac, Windows, and Linux. It checks what your computer can run, downloads the model for you, and keeps every question on your computer.