Text Generation
PEFT
Safetensors
English
qwen2
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
Download model.safetensors from SZLHOLDINGS/KHIPU-R2: direct link, hf CLI and curl.
- Browser
- Download file 6.17 GB
-
https://huggingface.co/SZLHOLDINGS/KHIPU-R2/resolve/main/model.safetensors
- Command line
-
hf download hf://SZLHOLDINGS/KHIPU-R2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/SZLHOLDINGS/KHIPU-R2/resolve/main/model.safetensors
6.17 GB
- Xet hash:
- 627e898bc845dc9b6081798f06917950d934300dadb11a28da6db1035309eaaa
- Size of remote file:
- 6.17 GB
- SHA256:
- 498f3f52d967d41ea75d556b35567472c392e30ef7d37c0925372f73d71754a3
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