How much VRAM does Qwen3.6-27B-Omnimerge-v4-MTP-GGUF need?

IQ3_XXS is exactly 11,425,354,560 bytes (10.64 GiB) in weights. Add the KV cache, which depends on context length, plus roughly half a gigabyte of runtime overhead.

ManniX-ITA · text

Qwen3.6-27B-Omnimerge-v4-MTP-GGUF

ManniX-ITA/Qwen3.6-27B-Omnimerge-v4-MTP-GGUF

Qwen3.6-27B-Omnimerge-v4-MTP-GGUF at IQ3_XXS is exactly 11,425,354,560 bytes (10.64 GiB / 11.43 GB) — an effective 3.346 bits per weight, not the nominal 3.

From the file· summed from 1 file(s)

Parameters

27.3B

Architecture

qwen35

Context

—

native (config.json)

License

other

Shipped quantizations

● exact bytes, summed from published files

Quant	Size●	Exact bytes●	Effective bpw●	Tensors●	Publisher
IQ3_XXS	10.64 GiB	11,425,354,560	3.346	—	kairusama

Compare with

same modality, comparable size

vs Qwen3-Coder-30B-A3B-Instruct vs Qwen3.6-27B vs Qwen3.8-27B vs gemma-4-12B-it-qat-q4_0-unquantized vs gemma-4-E4B-it vs Qwen3-30B-A3B-Thinking-2507 All alternatives →Will it fit on my card? →

Why other calculators give a different number

A parameters × bits ÷ 8 estimate puts IQ3_XXS at roughly 14.31 GiB. The real file is 10.64 GiB, because a quantization is a mixture and some tensors are always kept at higher precision.

Architecture

Architecture unavailable — this repository is gated and no ungated mirror was found. Exact file sizes above are still authoritative; only the KV math needs the config.

Questions people ask

How much VRAM does Qwen3.6-27B-Omnimerge-v4-MTP-GGUF need?: IQ3_XXS is exactly 11,425,354,560 bytes (10.64 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
Which quantization of Qwen3.6-27B-Omnimerge-v4-MTP-GGUF should I use?: Q4_K_M is the usual default. Pick the largest quantization that fits your card at the context you actually need — the table above gives exact sizes for every one published.