What are the hardware requirements for PII DETECTION MODEL?

PII DETECTION MODEL requires approximately 2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PII DETECTION MODEL and how large is it?

PII DETECTION MODEL is developed by betterdataai, a model with 0.5b 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 PII DETECTION MODEL?

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

PII DETECTION MODEL by betterdataai — VRAM 2GB, 128K context

Name: PII DETECTION MODEL
Author: betterdataai

PII DETECTION MODEL is an open-source language model by betterdataai. Features: 0.5b LLM, VRAM: 2GB, Context: 128K, LLM Explorer Score: 0.13.

Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/betterdataai/PII_DETECTION_MODEL

PII DETECTION MODEL Parameters and Internals

LLM Name	PII DETECTION MODEL
Repository 🤗	https://huggingface.co/betterdataai/PII_DETECTION_MODEL
Model Size	0.5b
Required VRAM	2 GB
Updated	2026-07-29
Maintainer	betterdataai
Model Type	qwen2
Model Files	2.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the PII DETECTION MODEL 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

Best Alternatives to PII DETECTION MODEL

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Reader Lm 0.5B	250K / 1 GB	188	150
Qwen2 0.5B	128K / 1 GB	1216780	169
Qwen2 0.5B Finetune Exp 1	128K / 1 GB	15	0
...0.5B FT EnhancedMUSREnsembleV3	128K / 1 GB	32	1
....5B FT V4 MUSR ENSEMBLE Mathis	128K / 2 GB	30	1
...0.5B FT MUSR ENSEMBLE V2Mathis	128K / 1 GB	25	0
...PRYMMAL 0.5B FT V4 MUSR Mathis	128K / 1 GB	62	1
Qwen2 0.5B Stf Imdb	128K / 1 GB	7	0
ECE PRYMMAL 0.5B FT V3 MUSR	128K / 2 GB	17	0
ECE PRYMMAL 0.5B FT V4 MUSR	128K / 2 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than betterdataai/PII_DETECTION_MODEL.