Text Generation
PEFT
Safetensors
English
Chinese
lora
decision-making
calibration
personal-agent
qwen3.8
conversational
Eval Results (legacy)
Instructions to use EnvLoop/Pev-27B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EnvLoop/Pev-27B-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.8-27B") model = PeftModel.from_pretrained(base_model, "EnvLoop/Pev-27B-LoRA") - Notebooks
- Google Colab
- Kaggle
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This repository is publicly accessible, but you have to accept the conditions to access its files and content.
This adapter was trained on text that quotes third-party reviews and emails and on LLM-rendered data; it is released for non-commercial research use only (CC-BY-NC-4.0 with the additional conditions in LICENSE.md). By requesting access you agree to use it for non-commercial research only, not to use it to identify, contact or profile the people quoted in its training data, and to cite the technical report and the data sources.
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