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
receipt: publication_eligible false; drop BrainNavigator profile; abstain 3/6 not a pass
Browse files- training_receipt.json +1 -2
training_receipt.json
CHANGED
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@@ -2,7 +2,6 @@
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"kind": "szl-khipu-abstain-training-receipt",
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"schema": "szl.frontier-training-run/v1",
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"v": 1,
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"capabilityProfile": "SZL-Khipu-1.5B-BrainNavigator",
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"artifact": "SZLHOLDINGS/KHIPU-R2",
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"baseModel": "Qwen/Qwen2.5-1.5B-Instruct",
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"base_model": "Qwen/Qwen2.5-1.5B-Instruct",
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@@ -155,7 +154,7 @@
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"lambda": "Conjecture 1",
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"doctrine": "v11 LOCKED 749/14/163",
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"proposal_only": true,
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-
"publication_eligible":
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"autonomy_eligible": false,
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"job_id": "6a91bf11984507d9db4ea104",
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"host": "j-szlholdings-6a91bf11984507d9db4ea104-glba55nz-d3ea0-68nwn",
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"kind": "szl-khipu-abstain-training-receipt",
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"schema": "szl.frontier-training-run/v1",
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"v": 1,
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"artifact": "SZLHOLDINGS/KHIPU-R2",
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"baseModel": "Qwen/Qwen2.5-1.5B-Instruct",
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"base_model": "Qwen/Qwen2.5-1.5B-Instruct",
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| 154 |
"lambda": "Conjecture 1",
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| 155 |
"doctrine": "v11 LOCKED 749/14/163",
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| 156 |
"proposal_only": true,
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| 157 |
+
"publication_eligible": false,
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| 158 |
"autonomy_eligible": false,
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| 159 |
"job_id": "6a91bf11984507d9db4ea104",
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| 160 |
"host": "j-szlholdings-6a91bf11984507d9db4ea104-glba55nz-d3ea0-68nwn",
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