Text Generation
PEFT
Safetensors
English
Korean
mistral3
decision-model
typed-decisions
jev
jevbench
calibration
decode-free
lora
Instructions to use StandardThinking/StandardOne-3B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use StandardThinking/StandardOne-3B-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-3-3B-Instruct-2512-BF16") model = PeftModel.from_pretrained(base_model, "StandardThinking/StandardOne-3B-LoRA") - Notebooks
- Google Colab
- Kaggle
Download docs/assets/00-benchmark-card.png from StandardThinking/StandardOne-3B-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 172 kB
-
https://huggingface.co/StandardThinking/StandardOne-3B-LoRA/resolve/main/docs/assets/00-benchmark-card.png
- Command line
-
hf download hf://StandardThinking/StandardOne-3B-LoRA/docs/assets/00-benchmark-card.png
-
curl -L -o 00-benchmark-card.png https://huggingface.co/StandardThinking/StandardOne-3B-LoRA/resolve/main/docs/assets/00-benchmark-card.png
172 kB

- Xet hash:
- 6b13e3920677dde56d00b5eced83c671f55c9d3655ae5e144967e0f2d4c66b18
- Size of remote file:
- 172 kB
- SHA256:
- 648a7d239492e96aaf33064afd195f567d197c13c1c427bf6e2a68443b6d11b1
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