Instructions to use 1337Hero/qwen3-coder-30b-a3b-codemonkey with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1337Hero/qwen3-coder-30b-a3b-codemonkey with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-coder-30b-a3b-instruct") model = PeftModel.from_pretrained(base_model, "1337Hero/qwen3-coder-30b-a3b-codemonkey") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use 1337Hero/qwen3-coder-30b-a3b-codemonkey 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 1337Hero/qwen3-coder-30b-a3b-codemonkey 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 1337Hero/qwen3-coder-30b-a3b-codemonkey to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for 1337Hero/qwen3-coder-30b-a3b-codemonkey to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="1337Hero/qwen3-coder-30b-a3b-codemonkey", max_seq_length=2048, )
- Xet hash:
- a3e80a0c7329b91f5fce702283fd80864a9012820ce5d04b832359d0955ba1f0
- Size of remote file:
- 11.4 MB
- SHA256:
- 45c4ffda6666cf6d75d0b1f961f25964e2a52a62e78aaecb2f458e9ba9824112
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