How to use from
Unsloth StudioInstall 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 fklska/school-answer to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for fklska/school-answer to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="fklska/school-answer",
max_seq_length=2048,
)Quick Links
school-answer : GGUF
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
- For text only LLMs:
llama-cli -hf fklska/school-answer --jinja - For multimodal models:
llama-mtmd-cli -hf fklska/school-answer --jinja
Available Model files:
qwen3-4b-instruct-2507.Q4_K_M.gguf
Ollama
An Ollama Modelfile is included for easy deployment.
This was trained 2x faster with Unsloth
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Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for fklska/school-answer to start chatting