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
docs: publish KHIPU-R2 card from szl-forge@87c94cf421ab875afc5a963479c4abedbc6fdb26
Browse filesExact-source KHIPU-R2 card publication. The measured 3/6 abstention result remains explicitly not a pass; publication_eligible and autonomy_eligible remain false. No weights, adapter, configs, evals, visibility, hardware, or runtime state changed.
- szl-source-binding.json +1 -1
szl-source-binding.json
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}
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},
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"repository": "szl-holdings/szl-forge",
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"revision": "
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},
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"target": {
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"controlled_paths": [
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}
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},
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"repository": "szl-holdings/szl-forge",
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+
"revision": "87c94cf421ab875afc5a963479c4abedbc6fdb26"
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},
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"target": {
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"controlled_paths": [
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