Text Generation
PEFT
Safetensors
English
lora
investigative-reasoning
abstention
root-cause-analysis
Instructions to use etigerstudio/Nautil-RLVR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use etigerstudio/Nautil-RLVR with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "etigerstudio/Nautil-RLVR") - Notebooks
- Google Colab
- Kaggle
File size: 780 Bytes
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{
"type": "function",
"function": {
"name": "request_evidence",
"description": "Return the exact text of previously unread evidence items by ID. Choose IDs from the case index; the result arrives as a tool message.",
"parameters": {
"type": "object",
"properties": {
"evidence_ids": {
"type": "array",
"minItems": 1,
"maxItems": 12,
"uniqueItems": true,
"items": {
"type": "string",
"pattern": "^E[1-9][0-9]*\\.[1-9][0-9]*$"
}
},
"reason": {
"type": "string",
"minLength": 10,
"description": "A concise statement of what this fetch will help decide."
}
},
"required": [
"evidence_ids",
"reason"
],
"additionalProperties": false
}
}
}
]
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