qwen2.5:14b
Qwen2.5 14B on your own machine
A better teacher than the coder SKU. Use it for architecture write-ups and Analyze mode.
Pull it
ollama pull qwen2.5:14bThen pick it in Osmium under Settings → Local models. Nothing else to configure.
- Parameters
- 14B
- VRAM (4-bit)
- 10 GB
- Disk
- ~7.5 GB
- Context
- 33K tokens
- Tool calling
- Yes
- Reads images
- No
- Generates images
- No
- Coding
- 6/10
- Explaining
- 8/10
Scores are our own product guidance, not benchmark results.
Which hardware runs it
Checked against GPU memory. Osmium runs the same check on your real machine and also looks at system RAM and free disk. Unified-memory Macs need more headroom because the GPU shares one pool with the operating system.
- 4 GB — GTX 1650 / MX570Needs 10 GB; this tier has 4 GB.Too big
- 6 GB — RTX 2060 / 3050Needs 10 GB; this tier has 6 GB.Too big
- 8 GB — RTX 3060 Ti / 4060Needs 10 GB; this tier has 8 GB.Too big
- 12 GB — RTX 3060 / 4070Runs comfortably on 12 GB.Fits
- 16 GB — RTX 4060 Ti / 4080Runs comfortably on 16 GB.Fits
- 24 GB — RTX 3090 / 4090Runs comfortably on 24 GB.Fits
- Mac 16 GB unifiedRuns comfortably on 16 GB.Fits
- Mac 24 GB unifiedRuns comfortably on 24 GB.Fits
- Mac 36 GB unifiedRuns comfortably on 36 GB.Fits
- Mac 64 GB unifiedRuns comfortably on 64 GB.Fits