How to use KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit with HERMES:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
How to use KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Carnice-MoE-35B-A3B-mlx-8Bit KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit
How to use KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit with Unsloth Studio:
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 KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit to start chatting
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 KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit", max_seq_length=2048, )
