Who developed Llama2 PII Masking and how large is it?

Llama2 PII Masking is developed by Ashishkr, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama2 PII Masking?

Llama2 PII Masking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama2 PII Masking by Ashishkr

Name: Llama2 PII Masking
Author: Ashishkr

Llama2 PII Masking is an open-source language model by Ashishkr. Features: 7b LLM, LLM Explorer Score: 0.08.

Adapter Base model:adapter:meta-llama/... Base model:meta-llama/llama-2-... Finetuned Lora Peft Region:us

Model Card on HF 🤗: https://huggingface.co/Ashishkr/llama2-PII-Masking

Llama2 PII Masking Parameters and Internals

Model Type

text generation

Use Cases

Areas:

PII Privacy Protection

Applications:

Data Anonymization

Primary Use Cases:

Masking Personally Identifiable Information from text

Supported Languages

English (Highly proficient)

Training Details

Methodology:

Fine-tuned for PII masking

Model Architecture:

Causal Language Model

Input Output

Input Format:

String input, typically text that may contain PII

Accepted Modalities:

text

Output Format:

String output with PII masked

LLM Name	Llama2 PII Masking
Repository 🤗	https://huggingface.co/Ashishkr/llama2-PII-Masking
Base Model(s)	Llama 2 7B Hf meta-llama/Llama-2-7b-hf
Model Size	7b
Required VRAM	0 GB
Updated	2026-10-09
Maintainer	Ashishkr
Model Files	0.0 GB 0.0 GB
Model Architecture	Adapter
Model Max Length	1024
Is Biased	none
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Llama2 PII Masking 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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Note: green Score (e.g. "73.2") means that the model is better than Ashishkr/llama2-PII-Masking.