What are the hardware requirements for Qwen2.5 1.5B Pii Redactor?

Qwen2.5 1.5B Pii Redactor requires approximately 3.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 1.5B Pii Redactor and how large is it?

Qwen2.5 1.5B Pii Redactor is developed by Harsh221, a model with 1.5b 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 Qwen2.5 1.5B Pii Redactor?

Qwen2.5 1.5B Pii Redactor is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 1.5B Pii Redactor by Harsh221 — VRAM 3.1GB, 32K context

Name: Qwen2.5 1.5B Pii Redactor
Author: Harsh221

Qwen2.5 1.5B Pii Redactor is an open-source language model by Harsh221. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.32.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Conversational Endpoints compatible Finetuned Instruct Lora Pii Pii-redaction Privacy Qwen2 Qwen2.5 Redaction Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Harsh221/qwen2.5-1.5b-pii-redactor

Qwen2.5 1.5B Pii Redactor Parameters and Internals

LLM Name	Qwen2.5 1.5B Pii Redactor
Repository 🤗	https://huggingface.co/Harsh221/qwen2.5-1.5b-pii-redactor
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-08-31
Maintainer	Harsh221
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

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Instruction Following and Task Automation
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