Image-Text-to-Text
PEFT
Safetensors
English
gemma4
solar-energy
community-solar
function-calling
multimodal
lora
unsloth
edge-ai
energy
sustainability
hackathon
conversational
Eval Results (legacy)
Instructions to use Truthseeker87/solarhive-e4b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Truthseeker87/solarhive-e4b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/content/drive/MyDrive/models/gemma-4/transformers/gemma-4-e4b-it/1") model = PeftModel.from_pretrained(base_model, "Truthseeker87/solarhive-e4b-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop

- Xet hash:
- 866b53df5ca851690f4020e0fdddba043662f0a456643aabadc59a74d5d3b794
- Size of remote file:
- 758 kB
- SHA256:
- d520b63f652ee0813d445b5e5e679f5f57db9ffbbb074e29b19bfda267377d79
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