Text Generation
PyTorch
qwen3
unsloth
trl
sft
code
coding
cot
reasoning
thinking
think
conversational
Instructions to use ertghiu256/qwen3-4b-code-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use ertghiu256/qwen3-4b-code-reasoning 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 ertghiu256/qwen3-4b-code-reasoning 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 ertghiu256/qwen3-4b-code-reasoning to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ertghiu256/qwen3-4b-code-reasoning to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ertghiu256/qwen3-4b-code-reasoning", max_seq_length=2048, )
Update README.md
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README.md
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## Recommended parameters:
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- Context window : > 10000
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- Temperature : 0.7
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- Top_p :
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- Top_k : 0.
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## Strengths
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- Code generation
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## Recommended parameters:
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- Context window : > 10000
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- Temperature : 0.7
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- Top_p : 60
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- Top_k : 0.99
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- Min_p : 0.05
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## Strengths
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- Code generation
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