Can my computer run Qwen 3.8 27B?
The most capable everyday assistant, for computers with plenty of memory. Sees pictures too. Qwen 3.8 27B needs about 20.4 GB of memory. It runs comfortably on Macs with 32 GB or more, and on PCs with 32 GB of RAM or more, even without a graphics card.
Qwen 3.8 27B 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 | Too big | Needs more memory than this computer has. |
| Mac, 16 GB | May run slowly | May need swap or a shorter context. |
| Mac, 24 GB | Tight fit | Runs, with little memory to spare. Close other big apps. |
| 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 | Too big | Needs more memory than this computer has. |
| PC, 16 GB, no graphics card | May run slowly | May need swap or a shorter context. |
| PC, 32 GB, no graphics card | Excellent fit | Plenty of memory to spare. |
| PC, 16 GB + 8 GB graphics card | May run slowly | May need swap or a shorter context. Partial GPU offload expected. |
| PC, 32 GB + 12 GB graphics card | Excellent fit | Plenty of memory to spare. Partial GPU offload expected. |
| PC, 32 GB + 16 GB graphics card | Excellent fit | Plenty of memory to spare. Partial GPU offload expected. |
| PC, 64 GB + 24 GB graphics card | Excellent fit | Plenty of memory to spare. Good GPU fit. |
About Qwen 3.8 27B
- Memory needed
- ≈ 20.4 GB
- Download size
- 18.3 GB
- Parameters
- 27B
- Quantization
- Q4_K_M
- Longest conversation
- 256K tokens
Good at
- Chat and writing
- Sees pictures and screenshots
- Uses tools, such as web search and your files
Languages it handles well
English, Simplified Chinese, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic
Similar models to compare
- Qwen 2.5 32B≈ 21.5 GB
Large high-quality model for capable machines.
- Muse Glimmer 30B≈ 17.1 GB
Meta's large model that sees pictures, codes, and reasons well; for 32 GB Macs or 24 GB graphics cards.
- Qwen 2.5 14B≈ 10.2 GB
Largest curated quality pick when your machine has headroom.
- Qwen 3.5 9B≈ 7.2 GB
Strong everyday assistant that also sees pictures.
Questions
- How much memory does Qwen 3.8 27B need?
- About 20.4 GB with Toskar's default 8K context: the 18.3 GB model file plus room for the conversation. After it has run once, Toskar measures what it really uses on your computer.
- Can Qwen 3.8 27B run on a Mac with 8 GB?
- No. It needs about 20.4 GB, more than a Mac with 8 GB has. A smaller model, or a paired computer with more memory, can answer instead.
- Can Qwen 3.8 27B run without a graphics card?
- Barely. It needs about 20.4 GB, so it may run slowly or need a shorter conversation. A smaller model will feel faster. 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 3.8 27B free to use?
- Yes. Toskar Core is free and open source, and it downloads Qwen 3.8 27B for you at no cost. 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 3.8 27B 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.