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
๐ Wan    ๏ฝ    ๐ฅ๏ธ GitHub    |   ๐ค Hugging Face   |   ๐ค ModelScope   |    ๐ Technical Report    |    ๐ Blog    |   ๐ฌ WeChat Group   |    ๐ Discord   ----โฆ
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-gguf | dat-lequoc/fast-apply-1.5b-v1.0_gguf | |
|---|---|---|
| Author | bullerwins | dat-lequoc |
| Pipeline Task | text-to-video | โ |
| Library | โ | transformers |
| Downloads | 25,209 | 34,562 |
| Likes | 69 | 3 |
| License | Unknown | Unknown |
| Context Length | โ | โ |
| Created | 2025-07-28 | 2024-10-24 |
| Last Modified | 2025-07-28 | 2024-10-24 |
| Tags |
View full details: bullerwins/wan2.2-t2v-a14b-gguf · dat-lequoc/fast-apply-1.5b-v1.0_gguf