GGUF
unsloth
fine tune
heretic
uncensored
abliterated
multi-stage tuned.
all use cases
coder
creative
creative writing
fiction writing
MTP
Instructions to use Jimster480/Deck-Opus-NEO-CODE-HERE-2T-OT-Q6_K-MTP-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use Jimster480/Deck-Opus-NEO-CODE-HERE-2T-OT-Q6_K-MTP-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Jimster480/Deck-Opus-NEO-CODE-HERE-2T-OT-Q6_K-MTP-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Jimster480/Deck-Opus-NEO-CODE-HERE-2T-OT-Q6_K-MTP-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Jimster480/Deck-Opus-NEO-CODE-HERE-2T-OT-Q6_K-MTP-GGUF to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Jimster480/Deck-Opus-NEO-CODE-HERE-2T-OT-Q6_K-MTP-GGUF", max_seq_length=2048, )
Found this model to be better than Qwen3.6-27B Unsloth UD-Q8_K_XL so I worked to add MTP to it.
MTP Grafted from Unsloth MTP header
- 50-100% Speed Increase in Decode vs Original
- Downloads last month
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Hardware compatibility
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6-bit
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