Instructions to use jyothir/alpaca-sft-math-tasks-modulus_exp_task-hard_model_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jyothir/alpaca-sft-math-tasks-modulus_exp_task-hard_model_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jyothir/alpaca-sft-math-tasks-modulus_exp_task-hard_model_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: jyothir
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3.5-mini-instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for jyothir/alpaca-sft-math-tasks-modulus_exp_task-hard_model_model
Base model
microsoft/Phi-3.5-mini-instruct Finetuned
unsloth/Phi-3.5-mini-instruct
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jyothir/alpaca-sft-math-tasks-modulus_exp_task-hard_model_model", device_map="auto")