Instructions to use xtremecoder/Qwen2.5-Coder-7B-Instruct-Python-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xtremecoder/Qwen2.5-Coder-7B-Instruct-Python-bnb-4bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xtremecoder/Qwen2.5-Coder-7B-Instruct-Python-bnb-4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use xtremecoder/Qwen2.5-Coder-7B-Instruct-Python-bnb-4bit 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 xtremecoder/Qwen2.5-Coder-7B-Instruct-Python-bnb-4bit 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 xtremecoder/Qwen2.5-Coder-7B-Instruct-Python-bnb-4bit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for xtremecoder/Qwen2.5-Coder-7B-Instruct-Python-bnb-4bit to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="xtremecoder/Qwen2.5-Coder-7B-Instruct-Python-bnb-4bit", max_seq_length=2048, )
| base_model: unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - qwen2 | |
| - trl | |
| license: apache-2.0 | |
| language: | |
| - en | |
| datasets: | |
| - iamtarun/python_code_instructions_18k_alpaca | |
| # Qwen2.5 Coder Python Fine-Tuned Model | |
| - **Developed by:** xtremecoder | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit | |
| ## Description | |
| Fine-tuned the Qwen2.5 Coder 7B model for python code output. | |
| From testing, the main difference is that the fine-tuned model directly generates code as output without additional text explanations and "fluff". | |
| The generated code itself is also different from the base model, sometimes more efficient than the original, but code quality doesn't always look to be | |
| as good as the original -- likely a function of limitated training datasets. |