Qwen 2.5 Coder 7B
Alibaba · Qwen
A coding-specialist model fine-tuned on a massive corpus of source code across 40+ programming languages, delivering autocomplete and generation quality that rivals dedicated IDE tools. At 7B it is fast enough for real-time code suggestions on a single consumer GPU.
Params
7B
License
Apache 2.0
Context
128K
Min VRAM
4 GB
Min RAM
8 GB
Tier
Light
Run locally with Ollama
ollama run qwen2.5-coder:7bOnce running, Ollama exposes an OpenAI-compatible endpoint at localhost:11434/v1.
Will it run on my hardware?
Qwen 2.5 Coder 7B needs about 4 GB of fast memory at Q4. Here is what in our hardware database clears that bar.
Runs at full speed · 12
Runs, but slower on shared memory · 3
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Specifications
| Parameters | 7B |
|---|---|
| Context window | 128K |
| License | Apache 2.0 |
| Min VRAM (Q4) | 4 GB |
| Min RAM | 8 GB |
| Recommended tier | Light |
| Best for | codingcode completiondebugging |
Variants on Ollama
Ollama serves the Q4_K_M quantization by default. Higher-precision tags exist for users with more memory.
Qwen 2.5 Coder 7B
ollama run qwen2.5-coder:7bollama pull qwen2.5-coder:q8_0ollama pull qwen2.5-coder:fp16Exact quantization tags vary per model — run ollama show qwen2.5-coder or check the tags page for the full list.
Popularity trend (illustrative)
Illustrative adoption trend, not actual download counts. We do not publish a download number for any model because we have no honest source for it.
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