What are the hardware requirements for Qwen3 06B 3MPER0RR Abliterated?

Qwen3 06B 3MPER0RR Abliterated requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 06B 3MPER0RR Abliterated and how large is it?

Qwen3 06B 3MPER0RR Abliterated is developed by 3MPER0RR, a model with 06b 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 Qwen3 06B 3MPER0RR Abliterated?

Qwen3 06B 3MPER0RR Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 06B 3MPER0RR Abliterated by 3MPER0RR — VRAM 1.2GB, 40K context

Name: Qwen3 06B 3MPER0RR Abliterated
Author: 3MPER0RR

Qwen3 06B 3MPER0RR Abliterated is an open-source language model by 3MPER0RR. Features: 06b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:huihui-ai/... Base model:huihui-ai/huihui-qw... Conversational Endpoints compatible Qwen Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/3MPER0RR/Qwen3-06B-3MPER0RR-abliterated

Qwen3 06B 3MPER0RR Abliterated Parameters and Internals

LLM Name	Qwen3 06B 3MPER0RR Abliterated
Repository 🤗	https://huggingface.co/3MPER0RR/Qwen3-06B-3MPER0RR-abliterated
Base Model(s)	huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2 huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2
Model Size	06b
Required VRAM	1.2 GB
Updated	2026-10-11
Maintainer	3MPER0RR
Model Type	qwen3
Model Files	1.2 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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Data Analysis and Insight Generation
Text Generation
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