Can I run this LLM? Real file sizes, live from Hugging Face.
All models › Qwen3.8-27B vs Qwen3-Coder-30B-A3B-Instruct

Qwen3.8-27B vs Qwen3-Coder-30B-A3B-Instruct — hardware requirements compared (measured)

Both sides use real GGUF file sizes from Hugging Face — not params×bits formulas. Updated daily.

Qwen3.8-27BQwen3-Coder-30B-A3B-Instruct
Parameters27B31B
Downloads (30d)6941k12661k
Quantizations published2527
Smallest build needs9.3 GB (UD-IQ1_S)11.1 GB (UD-TQ1_0)
Recommended quant needs13.0 GB (UD-Q2_K_XL)13.1 GB (UD-IQ1_M)
Lossless build needs61.2 GB74.8 GB

Verdict: About the same hardware-wise. Capability is a different question (see benchmark leaderboards) — this page answers only “which one fits my machine, and at what quality cost?”

Will it run on your GPU?

At the recommended quant, 8K context:

HardwareVRAM/RAMQwen3.8-27BQwen3-Coder-30B-A3B-Instruct
RTX 3060 12GB12 GBnono
RTX 4070 12GB12 GBnono
RTX 4090 24GB24 GBfitsfits
RTX 5090 32GB32 GBfitsfits
Mac 24GB18 GBfitsfits
Mac 64GB48 GBfitsfits

Full measured tables

Qwen3.8-27Bevery quant, exact GB Qwen3-Coder-30B-A3B-Instructevery quant, exact GB
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