Instructions to use HaitameLaframe/Mistral-v3-7b-coder-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaitameLaframe/Mistral-v3-7b-coder-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaitameLaframe/Mistral-v3-7b-coder-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: HaitameLaframe
- License: apache-2.0
- Finetuned from model : HaitameLaframe/Mistral-v3-7b-coder
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for HaitameLaframe/Mistral-v3-7b-coder-lora
Base model
mistralai/Mistral-7B-v0.3 Quantized
unsloth/mistral-7b-v0.3-bnb-4bit Finetuned
HaitameLaframe/Mistral-v3-7b-coder