bullerwins/wan2.2-t2v-a14b-ggufvsfailspy/meta-llama-3-70b-instruct-abliterated-v3.5-gguf
Side-by-side comparison of bullerwins/wan2.2-t2v-a14b-gguf and failspy/meta-llama-3-70b-instruct-abliterated-v3.5-gguf: downloads, license, context length, tasks, and benchmarks.
bullerwins/wan2.2-t2v-a14b-gguf
💜 Wan    |    🖥️ GitHub    |   🤗 Hugging Face   |   🤖 ModelScope   |    📑 Technical Report    |    📑 Blog    |   💬 WeChat Group   |    📖 Discord   ----…
failspy/meta-llama-3-70b-instruct-abliterated-v3.5-gguf
# Llama-3-70B-Instruct-abliterated-v3.5 Model Card My original Jupyter "cookbook" to replicate the methodology can be found here My personal library o' code used (WIP, looking to improve and generalize) This is meta-llama/Meta-Llama-3-70B-Instruct with orthogonalized bfloat16 sa…
Side-by-side Specifications
| bullerwins/wan2.2-t2v-a14b-gguf | failspy/meta-llama-3-70b-instruct-abliterated-v3.5-gguf | |
|---|---|---|
| Author | bullerwins | failspy |
| Pipeline Task | text-to-video | — |
| Library | — | transformers |
| Downloads | 25,209 | 36,982 |
| Likes | 69 | 25 |
| License | Unknown | Unknown |
| Context Length | — | — |
| Created | 2025-07-28 | 2024-05-28 |
| Last Modified | 2025-07-28 | 2024-05-30 |
| Tags |
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