Instructions to use SakitsunaAI/NeksarAISparcus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use SakitsunaAI/NeksarAISparcus 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 SakitsunaAI/NeksarAISparcus 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 SakitsunaAI/NeksarAISparcus to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for SakitsunaAI/NeksarAISparcus to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="SakitsunaAI/NeksarAISparcus", max_seq_length=2048, )
JustBekir commited on
Trained with Unsloth - Ollama Modelfile
Browse files
Modelfile
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TEMPLATE """{{ if .System }}<|system|>
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{{ .System }}<|end|>
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{{ end }}{{ if .Prompt }}<|user|>
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{{ end }}<|assistant|>
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"""
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PARAMETER temperature 1.5
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PARAMETER min_p 0.1
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