How much VRAM does Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive need?

Q8_0 is exactly 36,903,139,456 bytes (34.37 GiB) in weights. Add the KV cache, which depends on context length, plus roughly half a gigabyte of runtime overhead.

HauhauCS · vision language

Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive at Q8_0 is exactly 36,903,139,456 bytes (34.37 GiB / 36.90 GB) — an effective 8.518 bits per weight, not the nominal 8.

From the file· summed from 1 file(s)

Parameters

34.7B

Architecture

qwen35moe

Context

—

native (config.json)

License

apache-2.0

Shipped quantizations

● exact bytes, summed from published files

Quant	Size●	Exact bytes●	Effective bpw●	Tensors●	Publisher
Q8_0	34.37 GiB	36,903,139,456	8.518	733	LuffyTheFox

Compare with

same modality, comparable size

vs Qwen3.6-35B-A3B vs Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP vs Qwen3.5-9B vs gemma-4-26B-A4B-it vs gemma-4-12B-it vs Qwythos-9B-Claude-Mythos-5-1M All alternatives →Will it fit on my card? →

Why other calculators give a different number

A parameters × bits ÷ 8 estimate puts Q8_0 at roughly 18.16 GiB. The real file is 34.37 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 Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive need?: Q8_0 is exactly 36,903,139,456 bytes (34.37 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
Which quantization of Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive 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.