Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF
DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUFContent controls: uploader describes removal; not independently verified.
Model from Hugging Face for text generation: DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF
Informações do modelo
Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF is an open-weights language model for text generation. The primary file is L3.2-8X3B-MOE-Dark-Champion-Inst-18.4B-uncen-ablit_D_AU-Q4_k_m.gguf (11.31 GB, Q4_K_M). The primary file needs about 14 GB free for the Q4 file. License: Apache 2.0. The SHA-256 prefix is d98bc0df90da. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.
O que está incluído
16 hosted of 16 listed
Sobre este modelo
External Hugging Face catalog record for DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF. Task: text generation. Library: unknown. Languages: en. Popularity signal at import: 42,067 downloads and 632 likes.
Informações básicas
- Parameters
- 24B
- Hosted here
- 16 hosted of 16 listed
- Full repo upstream
- 148.7 GB
- Recommended file
- 11.3 GB (Q4_K_M) · L3.2-8X3B-MOE-Dark-Champion-Inst-18.4B-uncen-ablit_D_AU-Q4_k_m.gguf
- Languages
- en
- Format
- GGUF
- Downloads on Hugging Face
- 41,926
- File hashes
- Hashes recorded. Date not recorded.
Licença e origem
License: apache-2.0
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- text generation
- Hosted here
- 16 files, 148.7 GB
- Full repo upstream
- 148.7 GB
- Recommended file
- 11.3 GB (Q4_K_M) · L3.2-8X3B-MOE-Dark-Champion-Inst-18.4B-uncen-ablit_D_AU-Q4_k_m.gguf
- Parameters
- 24B (6B active)
- Files
- 16 hosted of 16 listed
- Download
- Download here (16 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF is an open-weights language model for text generation published by DavidAU, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for text generation: DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF · unknown
Can I use it commercially?
It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.
How big is it?
DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF has 24B parameters (6B active per token). Hosted here: 16 files, 148.7 GB. Full repo upstream: 148.7 GB. The recommended download, L3.2-8X3B-MOE-Dark-Champion-Inst-18.4B-uncen-ablit_D_AU-Q4_k_m.gguf (Q4_K_M), is 11.3 GB.
What can I download here?
Hosted here: 16 files, 148.7 GB. Full repo upstream: 148.7 GB. The original release is at https://huggingface.co/DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 16 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-davidau-llama-3-2-8x3b-moe-dark-champion-instruct-uncensored-abliterated-18-4b-gguf/safety on Hugging Bay.
Will DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF run on my computer?
We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.
Repack of DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B (Name match). This does not mean the files match the original weights.