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
- Unsloth Studio new
How to use Truthseeker87/solarhive-e4b-lora with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Truthseeker87/solarhive-e4b-lora to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Truthseeker87/solarhive-e4b-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Truthseeker87/solarhive-e4b-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Truthseeker87/solarhive-e4b-lora", max_seq_length=2048, )
- Xet hash:
- d6990ce7f75130d74d394c6f428446b6f555482a33c9e5637027af47b98c46a8
- Size of remote file:
- 32.2 MB
- SHA256:
- b1d8bced9d66859cd2c3f4dcd8ab427197d4d46af3d9598b72af9fcf80b8392e
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