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LLaMA2 13B Stop Hate by irlab-udc

 »  All LLMs  »  irlab-udc  »  LLaMA2 13B Stop Hate   URL Share it on

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  Arxiv:1910.09700   Adapter Base model:adapter:meta-llama/... Base model:meta-llama/llama-2-...   Conversational   Dataset:irlab-udc/metahate   En   Finetuned   Hate speech   Lora   Peft   Region:us
Model Card on HF 🤗: https://huggingface.co/irlab-udc/LLaMA2-13b-Stop-Hate 

LLaMA2 13B Stop Hate Benchmarks

LLME Score: 0.19335
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA2 13B Stop Hate (irlab-udc/LLaMA2-13b-Stop-Hate)

LLaMA2 13B Stop Hate Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Research purposes in conversational applications to stop hate speech generation.
Limitations:
The model may continue some hate speech conversations., Performance may vary across different domains.
Considerations:
Additional Notes 
The model is trained using NVIDIA RTX A6000 hardware over 9 hours, emitting approximately 1.17 kg of CO2 equivalent.
Supported Languages 
languages_supported (English), proficiency_level ()
Training Details 
Data Sources:
irlab-udc/metahate
Methodology:
Fine-tuned using PEFT approach
Hardware Used:
NVIDIA RTX A6000
Model Architecture:
LoraConfig with specific hyperparameters
Responsible Ai Considerations 
Fairness:
The model may carry biases present in the training data.
Transparency:
Accountability:
Mitigation Strategies:
Input Output 
Accepted Modalities:
text
LLM NameLLaMA2 13B Stop Hate
Repository 🤗https://huggingface.co/irlab-udc/LLaMA2-13b-Stop-Hate 
Base Model(s)  Llama 2 13B Chat Hf   meta-llama/Llama-2-13b-chat-hf
Model Size13b
Required VRAM0.5 GB
Updated2025-02-22
Maintainerirlab-udc
Model Files  0.5 GB
Supported Languagesen
Model ArchitectureAdapter
Licensellama2
Model Max Length512
Is Biasedlora_only
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|down_proj|v_proj|gate_proj|up_proj|k_proj|o_proj|lm_head
LoRA Alpha64
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than irlab-udc/LLaMA2-13b-Stop-Hate.

Rank the LLaMA2 13B Stop Hate Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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