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Model Comparison

bullerwins/wan2.2-t2v-a14b-ggufvsdat-lequoc/fast-apply-1.5b-v1.0_gguf

Side-by-side comparison of bullerwins/wan2.2-t2v-a14b-gguf and dat-lequoc/fast-apply-1.5b-v1.0_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

dat-lequoc/fast-apply-1.5b-v1.0_gguf

dat-lequoc ยท โ€”

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Side-by-side Specifications

bullerwins/wan2.2-t2v-a14b-ggufdat-lequoc/fast-apply-1.5b-v1.0_gguf
Authorbullerwinsdat-lequoc
Pipeline Tasktext-to-videoโ€”
Libraryโ€”transformers
Downloads25,20934,562
Likes693
LicenseUnknownUnknown
Context Lengthโ€”โ€”
Created2025-07-282024-10-24
Last Modified2025-07-282024-10-24
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
transformersggufqwen2text-generation-inferenceunslothenbase_model:unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bitbase_model:quantized:unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bitlicense:apache-2.0endpoints_compatible

View full details: bullerwins/wan2.2-t2v-a14b-gguf · dat-lequoc/fast-apply-1.5b-v1.0_gguf