Comfy-Org · video

Wan_2.2_ComfyUI_Repackaged

Comfy-Org/Wan_2.2_ComfyUI_Repackaged

Wan_2.2_ComfyUI_Repackaged at Q4_K_M is exactly 73,954,290,816 bytes (68.88 GiB / 73.95 GB)

From the file· summed from 7 file(s)
Parameters
Architecture
pig
Context
native (config.json)
License
apache-2.0

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
TQ1_01.31 GiB1,405,000,416calcuis
TQ2_01.52 GiB1,635,031,776calcuis
F162 shards1.55 GiB1,663,436,960calcuis
IQ3_XXS2.09 GiB2,248,448,736calcuis
IQ3_S2.31 GiB2,478,480,096calcuis
Q2_K_S8.86 GiB9,510,895,200calcuis
Q2_K7 shards42.63 GiB45,778,889,856calcuis
Q3_K_S7 shards50.03 GiB53,717,101,696calcuis
Q3_K_M7 shards53.96 GiB57,936,702,592calcuis
Q3_K_L7 shards57.58 GiB61,827,181,696calcuis
IQ4_XS7 shards58.65 GiB62,976,048,000calcuis
IQ4_NL7 shards61.31 GiB65,829,485,440calcuis
Q4_K_S7 shards63.53 GiB68,216,089,728calcuis
Q4_09 shards68.43 GiB73,476,309,504calcuis
Q4_K_M7 shards68.88 GiB73,954,290,816calcuis
Q4_18 shards69.67 GiB74,804,305,376calcuis
Q5_K_S7 shards71.95 GiB77,257,960,576calcuis
Q5_K_M7 shards75.84 GiB81,435,880,576calcuis
Q5_08 shards76.40 GiB82,029,997,280calcuis
Q5_18 shards80.87 GiB86,831,472,096calcuis
Q6_K7 shards83.25 GiB89,385,069,696calcuis
Q8_08 shards108.86 GiB116,884,663,520calcuis

Compare with

same modality, comparable size

Will it run on your card?

full quant x context sweep

Why other calculators give a different number

A parameters × bits ÷ 8 estimate puts Q4_K_M at roughly 0.00 GiB. The real file is 68.88 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 Wan_2.2_ComfyUI_Repackaged need?
Q4_K_M is exactly 73,954,290,816 bytes (68.88 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
Which quantization of Wan_2.2_ComfyUI_Repackaged 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.