Text Generation
PEFT
Safetensors
English
qlora
governed-agent
proposal-only
research-only
szl-holdings
khipu
abstain-retrain
conversational
Instructions to use SZLHOLDINGS/KHIPU-R2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SZLHOLDINGS/KHIPU-R2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "SZLHOLDINGS/KHIPU-R2") - Notebooks
- Google Colab
- Kaggle
feat(adapter): Unsloth QLoRA ABSTAIN_OVERSAMPLE=4 (does not overwrite SZL-Khipu-1.5B)
865382a verified - Xet hash:
- a9d2deae6c4e29050eaad96c7ff8587f258313897281f21e12079a39d34d64ff
- Size of remote file:
- 148 MB
- SHA256:
- a752f905ec8a5e1ef1d40361ce31a0333c73ba90cf7b03d95db31c84c546857a
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