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X_Boundary_DeepSeek_R1_Distill_Qwen_7B_adapter
Ursulalala/X_Boundary_DeepSeek_R1_Distill_Qwen_7B_adapter
X_Boundary_DeepSeek_R1_Distill_Qwen_7B_adapter is a machine learning model from Ursulalala. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
XBoundaryDeepSeekR1DistillQwen7Badapter is an LoRA adapter of DeepSeekR1DistillQwen7B trained by X-Boundary.
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Repo size
68.5 MB
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Repo makeup
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.safetensors60.6 MB · 100%
At a glance
- Library
- peft
- Access
- Public
- Created
- Mar 6, 2025
- Updated
- Mar 7, 2025
- SHA
- 0985412b
Base models
Model card
From the Hugging Face model README
Model Card for X_Boundary_DeepSeek_R1_Distill_Qwen_7B_adapter
<!-- Provide a quick summary of what the model is/does. -->X_Boundary_DeepSeek_R1_Distill_Qwen_7B_adapter is an LoRA adapter of DeepSeek_R1_Distill_Qwen_7B trained by X-Boundary.
X-Boundary is a method to strike a balance between robust defense against multi-turn jailbreak attacks and the usability of Large Language Model (LLM) by establishing exact distinction boundary between safe and harmful representations.
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
base_model_name = 'deepseek-ai/DeepSeek-R1-Distill-Qwen-7B'
adapter_name = 'Ursulalala/X_Boundary_DeepSeek_R1_Distill_Qwen_7B_adapter'
model = AutoModelForCausalLM.from_pretrained(
base_model_name,
torch_dtype='auto',
device_map='auto'
)
tokenizer = AutoTokenizer.from_pretrained(base_model_name)
model.load_adapter(adapter_name)
Framework versions
- PEFT 0.13.2
- Library
- peft
- Created
- Mar 6, 2025
- Updated
- Mar 7, 2025