What are the hardware requirements for NeuralAI?

NeuralAI requires approximately 1.5 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 NeuralAI and how large is it?

NeuralAI is developed by Subject-Emu-5259, a model with 360m 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 NeuralAI?

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

NeuralAI by Subject-Emu-5259 — VRAM 1.5GB, 8K context

Name: NeuralAI
Author: Subject-Emu-5259

NeuralAI is an open-source language model by Subject-Emu-5259. Features: 360m LLM, VRAM: 1.5GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.29.

Base-model Conversational Dpo En Finetuned Lora Mamba Neuralai Peft Region:us Safetensors Sharded Smollm2 Ssm Tensorflow

Model Card on HF 🤗: https://huggingface.co/Subject-Emu-5259/NeuralAI

NeuralAI Parameters and Internals

LLM Name	NeuralAI
Repository 🤗	https://huggingface.co/Subject-Emu-5259/NeuralAI
Base Model(s)	SmolLM2 360M Instruct HuggingFaceTB/SmolLM2-360M-Instruct
Model Size	360m
Required VRAM	1.5 GB
Updated	2026-08-03
Maintainer	Subject-Emu-5259
Model Type	llama
Model Files	0.5 GB: 1-of-3 0.5 GB: 2-of-3 0.5 GB: 3-of-3 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.5.4
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Errors	replace

Rank the NeuralAI 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

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LWM Text Chat 256K	256K / 13.5 GB	10	3
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SnorTTS Indic V0	128K / 9.5 GB	518	22
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