What are the hardware requirements for Huihui EXAONE Deep 7.8B Abliterated?

Huihui EXAONE Deep 7.8B Abliterated requires approximately 15.6 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 Huihui EXAONE Deep 7.8B Abliterated and how large is it?

Huihui EXAONE Deep 7.8B Abliterated is developed by huihui-ai, a model with 7.8b 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 Huihui EXAONE Deep 7.8B Abliterated?

Huihui EXAONE Deep 7.8B Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Huihui EXAONE Deep 7.8B Abliterated by huihui-ai — VRAM 15.6GB, 32K context

Name: Huihui EXAONE Deep 7.8B Abliterated
Author: huihui-ai

Huihui EXAONE Deep 7.8B Abliterated is an open-source language model by huihui-ai. Features: 7.8b LLM, VRAM: 15.6GB, Context: 32K, License: other, LLM Explorer Score: 0.18.

Abliterated Autotrain compatible Base model:finetune:lgai-exaon... Base model:lgai-exaone/exaone-... Chat Conversational Custom code En Exaone Exaone-deep Ko Lg-ai Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/huihui-ai/Huihui-EXAONE-Deep-7.8B-abliterated

Huihui EXAONE Deep 7.8B Abliterated Parameters and Internals

LLM Name	Huihui EXAONE Deep 7.8B Abliterated
Repository 🤗	https://huggingface.co/huihui-ai/Huihui-EXAONE-Deep-7.8B-abliterated
Base Model(s)	LGAI-EXAONE/EXAONE-Deep-7.8B LGAI-EXAONE/EXAONE-Deep-7.8B
Model Size	7.8b
Required VRAM	15.6 GB
Updated	2025-09-23
Maintainer	huihui-ai
Model Type	exaone
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 0.8 GB: 4-of-4
Supported Languages	en ko
Model Architecture	ExaoneForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.1
Tokenizer Class	GPT2Tokenizer
Padding Token	[PAD]
Vocabulary Size	102400
Torch Data Type	bfloat16
Activation Function	silu

Rank the Huihui EXAONE Deep 7.8B Abliterated capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Huihui EXAONE Deep 7.8B Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
EXAONE 3.5 7.8B Instruct	32K / 31.2 GB	515747	159
EXAONE Deep 7.8B	32K / 15.6 GB	2351	104
... 3.5 7.8B Instruct Abliterated	32K / 31.2 GB	153	6
EXAONE 3.5 7.8B Instruct AWQ	32K / 5.3 GB	485551	18

Note: green Score (e.g. "73.2") means that the model is better than huihui-ai/Huihui-EXAONE-Deep-7.8B-abliterated.