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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca: direct link, hf CLI and curl.
- Browser
- Download file 31.9 MB
-
https://huggingface.co/Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca/resolve/main/adapter_model.safetensors
31.9 MB
- Xet hash:
- c629d2ba824cf7c3b20541433b2c6807767dbcb7d58974eb0e7e7990a3946899
- Size of remote file:
- 31.9 MB
- SHA256:
- 15d413fddb0659d250b2a716a9ba9c31f4816e3eda8820b441ff2f387b5a63b4
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