Text Generation
Adapters
Safetensors
GGUF
German
English
llama
efficient
llama3
ollama
instruction-finetuning
nomi
lazyloopstudio
unsloth
nomi1.1
conversational
Instructions to use JallyAI/Nomi-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use JallyAI/Nomi-1.1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("JallyAI/Nomi-1.1", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use JallyAI/Nomi-1.1 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 JallyAI/Nomi-1.1 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 JallyAI/Nomi-1.1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for JallyAI/Nomi-1.1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="JallyAI/Nomi-1.1", max_seq_length=2048, )
- Xet hash:
- 9af8beee6c2752b64e8ac0da42e8a9172b4e2bf2dafe8e54558edc4d2af37e2b
- Size of remote file:
- 5.65 kB
- SHA256:
- 8baafcf8d271b32672ae2feb9ade0460e516291f6eb3da2219d75c1858d6ca64
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