Text Generation
Safetensors
English
gemma4
education
math
elementary-math
readability
tutoring
usable-math
estella-explainer
math-word-problems
fine-tuned
gemma
gemma-4
unsloth
lora
open-educational-resource
conversational
Instructions to use sgattup/EstellaExplainerLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use sgattup/EstellaExplainerLLM 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 sgattup/EstellaExplainerLLM 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 sgattup/EstellaExplainerLLM to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for sgattup/EstellaExplainerLLM to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="sgattup/EstellaExplainerLLM", max_seq_length=2048, )
- Xet hash:
- eb7904f29ae102b500ef3cbccb071efcd7a95a62e4aefe3ef67f0bdc1170b490
- Size of remote file:
- 147 MB
- SHA256:
- 41fea0bcdb9ddc2bb39fda8928954b330c7fa694fa17bacbc1791fb13041f0c8
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