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@880b2ddd170784f09e093b8cb7c8dceeeae0da4c
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.
- README.md +2 -0
- szl-source-binding.json +3 -3
README.md
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---
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# KHIPU-R2
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evals: MEASURED
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gpu: UNAVAILABLE
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---
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<!-- szl:artifact-identity-reconciled -->
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> **Artifact identity (noted 2026-09-30).** Besides the LoRA adapter, this repository's root carries a merged full-precision checkpoint (`model.safetensors` + `config.json`, loadable with `transformers`) produced by the receipted CPU merge of this adapter into its declared base (`merge_receipt.json`). The adapter remains the artifact of record for every figure on this card; the merged bytes carry no separate held-out receipt and add no claim. Metadata-only note.
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# KHIPU-R2
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szl-source-binding.json
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"sha256": "aec38c7568a6dbca5862264d65fc1ce24bf7fb5868051ea33ddafeb4abc93163"
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"repository": "szl-holdings/szl-forge",
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"revision": "880b2ddd170784f09e093b8cb7c8dceeeae0da4c"
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"target": {
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"controlled_paths": [
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