Transformers
Safetensors
English
text-generation-inference
unsloth
mixtral
mixture-of-experts
qlora
code-generation
python-coder
code-alpaca
Instructions to use Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca 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 Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca 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 Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca", max_seq_length=2048, )
- Xet hash:
- c629d2ba824cf7c3b20541433b2c6807767dbcb7d58974eb0e7e7990a3946899
- Size of remote file:
- 31.9 MB
- SHA256:
- 15d413fddb0659d250b2a716a9ba9c31f4816e3eda8820b441ff2f387b5a63b4
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