Instructions to use DIA-MVP/phi3-mini-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DIA-MVP/phi3-mini-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DIA-MVP/phi3-mini-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
library_name: transformers
tags: []
dia_report:
scope: incremental
lineage:
- model: microsoft/Phi-3-mini-4k-instruct
relation: lora
compute:
hardware:
gpu: NVIDIA A40
count: 1
duration_gpu_hours: 0.3624
footprint:
energy_kwh:
value: 0.0837
quality: estimated-from-hardware
carbon_kgco2eq:
value: 0.0025
quality: estimated-from-region
water_liters:
value:
- 0.151
- 0.335
quality: estimated-from-default-wue
context:
region: ca-on
carbon_intensity: 0.03
wue_l_per_kwh:
- 1.8
- 4
tool: dia-track-estimate
dia_version: '0.1'
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