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Text model · Qwen2.5-Coder

Qwen2.5 Coder 32B: RAM and VRAM requirements

Qwen2.5 Coder 32B needs about 20.7 GB to run at Q4_K_M (the Q4_K_M GGUF file is ~18.49 GB to download; KV cache and overhead add the rest), or about 34.6 GB at Q8_0. The lightest hardware that runs it is Nvidia GeForce RTX 4090 (24GB).

Qwen2.5-Coder family · 32B params · released Nov 2024 · 16.8M Ollama pulls.

Shopping for hardware? See what runs Qwen2.5 Coder 32B →

License Apache-2.0 · Commercial OK ↓ 1.2M/mo ♥ 2.1K on HuggingFace
Q4_K_M GGUF
18.49 GB
Q8_0 GGUF
32.43 GB
Memory @ Q4 (4k)
~20.7 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 32B runs on 13 of 40 tracked devices at Q4_K_M.

9 run well 4 tight fit 27 too small
Fit check Q4_K_M
No, not enough memory
needs 20.7 GB usable 10.5 GB
See the full breakdown

Memory breakdown

Weights (Q4_K_M)18.49 GB
+
KV cache (4k)1.4 GB
+
Overhead0.8 GB
=
Total20.7 GB

How context length changes it

4k context ~20.7 GB 32k context ~30.2 GB 128k context ~62.7 GB

Longer context grows the KV cache quickly: Qwen2.5 Coder 32B needs ~20.7 GB at 4k but ~62.7 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 32B generates at roughly ~30% of its short-context speed. How this is estimated.

Quantization sizes

GGUF quantson disk
Quantization Size on disk
Q2_K 13.4 GB est
Q3_K_M 15.6 GB est
Q4_K_M (default) 18.49 GB
Q5_K_M 22.8 GB est
Q6_K 26.2 GB est
Q8_0 32.43 GB
FP16 64 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:32b
llama.cpp
$ llama-cli -hf bartowski/Qwen2.5-Coder-32B-Instruct-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/Qwen2.5-Coder-32B-Instruct-GGUF

Which devices can run Qwen2.5 Coder 32B?

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 North Mini Code 1.0 30.5B Next size up Gemma 4 31B 32.7B

Similar models

Head-to-head

FAQ

How much VRAM or RAM does Qwen2.5 Coder 32B need?

At Q4_K_M, Qwen2.5 Coder 32B needs about 20.7 GB (weights ~18.49 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~34.6 GB.

What is the Q4_K_M GGUF file size of Qwen2.5 Coder 32B?

The Q4_K_M GGUF file is about 18.49 GB to download, and the Q8_0 GGUF is about 32.43 GB. That is the weights file on disk; to run it you also need room for the KV cache and overhead, so budget ~20.7 GB of memory at Q4_K_M.

Can Qwen2.5 Coder 32B run on a laptop?

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

Can I use Qwen2.5 Coder 32B commercially?

Yes. Qwen2.5 Coder 32B is licensed Apache-2.0, which permits commercial use.

Understand the numbers

Short guides to the ideas behind Qwen2.5 Coder 32B's memory and quant figures.

Qwen2.5-Coder, code-specialized. Matches frontier coding quality at 32B. 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.