Qwen 2.5 Coder 14B Instruct
Coding-specialized Qwen 2.5 at 14B. The 16GB-VRAM tier coding model — fits comfortably with 8K context.
Overview
Coding-specialized Qwen 2.5 at 14B. The 16GB-VRAM tier coding model — fits comfortably with 8K context.
Family & lineage
How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.
Strengths
- Apache 2.0
- Strongest open coding 14B in 2025
Weaknesses
- Trails 32B coder on the hardest tasks
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 8.4 GB | 11 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Qwen 2.5 Coder 14B Instruct.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Qwen 2.5 Coder 14B Instruct?
Can I use Qwen 2.5 Coder 14B Instruct commercially?
What's the context length of Qwen 2.5 Coder 14B Instruct?
Source: huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct
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