HERMES
Safetensors
English
qwen3_5_moe
qwen3.6
Mixture of Experts
agentic
tool-calling
qlora
unsloth
carnice
Instructions to use samuelcardillo/Carnice-Qwen3.6-MoE-35B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- HERMES
How to use samuelcardillo/Carnice-Qwen3.6-MoE-35B-A3B 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
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use samuelcardillo/Carnice-Qwen3.6-MoE-35B-A3B 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 samuelcardillo/Carnice-Qwen3.6-MoE-35B-A3B 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 samuelcardillo/Carnice-Qwen3.6-MoE-35B-A3B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for samuelcardillo/Carnice-Qwen3.6-MoE-35B-A3B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="samuelcardillo/Carnice-Qwen3.6-MoE-35B-A3B", max_seq_length=2048, )
- Xet hash:
- c4c04d0ada37808ab4884fde0993dd66e3c9af54130a638cc0fc4f42f0038ff7
- Size of remote file:
- 3.42 GB
- SHA256:
- be823e33c5cb6120ad3769d081f34a2449dc2358041fca7c29d636c1ba19130d
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