What are the hardware requirements for N3N Delirium V1 1030 0227?

N3N Delirium V1 1030 0227 requires approximately 20.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed N3N Delirium V1 1030 0227 and how large is it?

N3N Delirium V1 1030 0227 is developed by nhyha, a model with 10.2b 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 N3N Delirium V1 1030 0227?

N3N Delirium V1 1030 0227 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

N3N Delirium V1 1030 0227 by nhyha — VRAM 20.4GB, 8K context

Name: N3N Delirium V1 1030 0227
Author: nhyha

N3N Delirium V1 1030 0227 is an open-source language model by nhyha. Features: 10.2b LLM, VRAM: 20.4GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.24.

Base model:finetune:sam-paech/... Base model:sam-paech/delirium-... Conversational En Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/nhyha/N3N_Delirium-v1_1030_0227

N3N Delirium V1 1030 0227 Parameters and Internals

LLM Name	N3N Delirium V1 1030 0227
Repository 🤗	https://huggingface.co/nhyha/N3N_Delirium-v1_1030_0227
Base Model(s)	Delirium V1 sam-paech/Delirium-v1
Model Size	10.2b
Required VRAM	20.4 GB
Updated	2026-07-31
Maintainer	nhyha
Model Type	gemma2
Model Files	4.9 GB: 1-of-5 5.0 GB: 2-of-5 5.0 GB: 3-of-5 3.7 GB: 4-of-5 1.8 GB: 5-of-5
Supported Languages	en
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Text Generation
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Multi-Language Support and Translation

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