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safetune-testrun-unlearn_flat
ram-lexsi/safetune-testrun-unlearn_flat
safetune-testrun-unlearn_flat is a text generation model from ram-lexsi. Use it when you need the model to write or continue text. It is set up for transformers.
<div align="center" <table border="0" cellspacing="0" cellpadding="0" style="border: none; border-collapse: collapse;" <tr <td align="center" style="border: none; vertical-align: middle;" <a href="https://lexsi.ai/"<i…
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.safetensors3.1 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2
- Access
- Public
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026
- SHA
- ccbc0e01
Try a prompt
Base models
Model card
From the Hugging Face model README
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<a href="https://lexsi.ai/"><img src="https://huggingface.co/ram-lexsi/safetune-testrun-unlearn_flat/resolve/main/lexsi_logo.png" alt="Lexsi Labs" style="height: 60px; border-radius: 12px;"/></a>
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<a href="https://github.com/Lexsi-Labs/SafeTune"><img src="https://huggingface.co/ram-lexsi/safetune-testrun-unlearn_flat/resolve/main/safetune_banner.png" alt="SafeTune" style="height: 60px;"/></a>
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safetune-testrun-unlearn_flat
Built using SafeTune — a library of LLM-safety methods (harden / recover / unlearn / steer / interpret / evaluate).
| Built from | Qwen/Qwen2.5-1.5B-Instruct |
| Method | FLATTrainer |
| Backend | safetune |
| Artifact | model |
| Published | 2026-09-10 06:02 UTC |
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("ram-lexsi/safetune-testrun-unlearn_flat")
tokenizer = AutoTokenizer.from_pretrained("ram-lexsi/safetune-testrun-unlearn_flat")
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026