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 HikMiz/loan-default-explainer-1b-v2.0 to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for HikMiz/loan-default-explainer-1b-v2.0 to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="HikMiz/loan-default-explainer-1b-v2.0",
max_seq_length=2048,
)Quick Links
loan-default-explainer-1b-v2.0
LoRA fine-tune of unsloth/Llama-3.2-1B-Instruct, trained to write structured markdown
loan assessment memos from SHAP-based credit risk model output.
- Format: fp16 merged safetensors (not quantized)
- Base model: unsloth/Llama-3.2-1B-Instruct
- Chat template: standard Llama-3.2 template (system/user/assistant), unmodified — including the default "Cutting Knowledge Date / Today Date" system-turn boilerplate, since training data was generated with it present. Serve with the same template; stripping it at inference time will not match training.
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unsloth/Llama-3.2-1B-Instruct
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 HikMiz/loan-default-explainer-1b-v2.0 to start chatting