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ertghiu256
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qwen-3-14b-code-and-math-reasoning

PyTorch
qwen3
unsloth
trl
sft
Model card Files
xet
 Community
1
How to use from
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/qwen-3-14b-code-and-math-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/qwen-3-14b-code-and-math-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/qwen-3-14b-code-and-math-reasoning to start chatting
Load model with FastModel 
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="ertghiu256/qwen-3-14b-code-and-math-reasoning",
    max_seq_length=2048,
)
Quick Links

Qwen 3 14b a great medium sized model. This qwen3 model is trained on 20.000 samples taken from Nvidia/OpenCodeReasoning and Nvidia/OpenMathReasoning.

Model use cases:

  • Coding (python and c++)
  • Solving math questions
  • General reasoning

Use thinking mode using "/think" for the best results

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