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Text model · Qwen2.5-Coder

Qwen2.5 Coder 14B: RAM and VRAM requirements

Qwen2.5 Coder 14B needs about 10.1 GB to run at Q4_K_M (the Q4_K_M GGUF file is ~8.37 GB to download; KV cache and overhead add the rest), or about 16.3 GB at Q8_0. The lightest hardware that runs it is Nvidia GeForce RTX 3060 (12GB).

Qwen2.5-Coder family · 14B params · released Nov 2024 · 16.8M Ollama pulls.

Shopping for hardware? See what runs Qwen2.5 Coder 14B →

License Apache-2.0 · Commercial OK ↓ 3M/mo ♥ 178 on HuggingFace
Q4_K_M GGUF
8.37 GB
Q8_0 GGUF
14.62 GB
Memory @ Q4 (4k)
~10.1 GB
Context
32 k

Q4_K_M and Q8_0 are GGUF download (file) sizes. Memory @ Q4 includes the KV cache and overhead, so it runs larger than the file on disk.

Will it run on your device?

Qwen2.5 Coder 14B runs on 29 of 40 tracked devices at Q4_K_M.

22 run well 7 tight fit 11 too small
Fit check Q4_K_M
Yes, but tight fast
needs 10.1 GB usable 10.5 GB
See the full breakdown
$ollama run qwen2.5-coder:14b

Memory breakdown

Weights (Q4_K_M)8.37 GB
+
KV cache (4k)0.9 GB
+
Overhead0.8 GB
=
Total10.1 GB

How context length changes it

4k context ~10.1 GB 32k context ~16.4 GB 128k context ~37.9 GB

Longer context grows the KV cache quickly: Qwen2.5 Coder 14B needs ~10.1 GB at 4k but ~37.9 GB at 128k, which can push it past a device that fits it at a short context.

Speed drops too: every token re-reads the KV cache, so at 128k context Qwen2.5 Coder 14B generates at roughly ~23% of its short-context speed. How this is estimated.

Quantization sizes

GGUF quantson disk
Quantization Size on disk
Q2_K 5.9 GB est
Q3_K_M 6.8 GB est
Q4_K_M (default) 8.37 GB
Q5_K_M 10 GB est
Q6_K 11.5 GB est
Q8_0 14.62 GB
FP16 28 GB est

Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.

Run it

Ollama
$ ollama run qwen2.5-coder:14b
llama.cpp
$ llama-cli -hf bartowski/Qwen2.5-Coder-14B-Instruct-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/Qwen2.5-Coder-14B-Instruct-GGUF

Which devices can run Qwen2.5 Coder 14B?

Apple Silicon Macs

RAM-only laptops

iPhone & iPad

Android

NVIDIA GPUs

AMD GPUs

Same job, different size

Pick by what fits your memory: step down to free up VRAM, or step up if you have headroom.

Next size down Mistral Nemo 12B 12.2B Next size up DeepSeek-V2-Lite 16B

Similar models

Head-to-head

FAQ

How much VRAM or RAM does Qwen2.5 Coder 14B need?

At Q4_K_M, Qwen2.5 Coder 14B needs about 10.1 GB (weights ~8.37 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~16.3 GB.

What is the Q4_K_M GGUF file size of Qwen2.5 Coder 14B?

The Q4_K_M GGUF file is about 8.37 GB to download, and the Q8_0 GGUF is about 14.62 GB. That is the weights file on disk; to run it you also need room for the KV cache and overhead, so budget ~10.1 GB of memory at Q4_K_M.

Can Qwen2.5 Coder 14B run on a laptop?

Qwen2.5 Coder 14B is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.

Can I use Qwen2.5 Coder 14B commercially?

Yes. Qwen2.5 Coder 14B is licensed Apache-2.0, which permits commercial use.

Understand the numbers

Short guides to the ideas behind Qwen2.5 Coder 14B's memory and quant figures.

Qwen2.5-Coder, code-specialized. Q4_K_M and Q8_0 sizes from the bartowski GGUF repo. 32K native context, 128K with YaRN.

Sources

Last validated 2026-08-03. Memory figures are estimates. See methodology.