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Model Comparison

bullerwins/wan2.2-t2v-a14b-ggufvsccssne/gemma-4-26b-a4b-it-heretic-ara-gguf

Side-by-side comparison of bullerwins/wan2.2-t2v-a14b-gguf and ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf: downloads, license, context length, tasks, and benchmarks.

bullerwins/wan2.2-t2v-a14b-gguf

bullerwins ยท text-to-video

๐Ÿ’œ Wan &nbsp&nbsp ๏ฝœ &nbsp&nbsp ๐Ÿ–ฅ๏ธ GitHub &nbsp&nbsp | &nbsp&nbsp๐Ÿค— Hugging Face&nbsp&nbsp | &nbsp&nbsp๐Ÿค– ModelScope&nbsp&nbsp | &nbsp&nbsp ๐Ÿ“‘ Technical Report &nbsp&nbsp | &nbsp&nbsp ๐Ÿ“‘ Blog &nbsp&nbsp | &nbsp&nbsp๐Ÿ’ฌ WeChat Group&nbsp&nbsp | &nbsp&nbsp ๐Ÿ“– Discord&nbsp&nbsp ----โ€ฆ

ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf

CCSSNE ยท โ€”

# Gemma-4-26B-A4B-It-Heretic-GGUF Quantized using Unsloth on RTX 4070 Laptop . This version includes the vision adapter (mmproj) and is optimized for local inference.

Side-by-side Specifications

bullerwins/wan2.2-t2v-a14b-ggufccssne/gemma-4-26b-a4b-it-heretic-ara-gguf
AuthorbullerwinsCCSSNE
Pipeline Tasktext-to-videoโ€”
Libraryโ€”gguf
Downloads25,20991,849
Likes6927
LicenseUnknownUnknown
Context Lengthโ€”โ€”
Created2025-07-282026-04-03
Last Modified2025-07-282026-04-03
Tags
gguftext-to-videoarxiv:2503.20314arxiv:2309.14509base_model:Wan-AI/Wan2.2-T2V-A14Bbase_model:quantized:Wan-AI/Wan2.2-T2V-A14Blicense:apache-2.0region:us
ggufunslothgemma-4quantizedmoebase_model:trohrbaugh/gemma-4-26B-A4B-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-26B-A4B-it-heretic-araendpoints_compatibleregion:usconversational

View full details: bullerwins/wan2.2-t2v-a14b-gguf · ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf