NeuralAI by Subject-Emu-5259

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NeuralAI is an open-source language model by Subject-Emu-5259. Features: 360m LLM, VRAM: 1.5GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

Base model:adapter:huggingface... Base model:huggingfacetb/smoll...   Conversational   Dpo   En   Finetuned   Instruct   Llama   Lora   Peft   Region:us   Safetensors   Sharded   Smollm2   Tensorflow

NeuralAI Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

NeuralAI Parameters and Internals

LLM NameNeuralAI
Repository 🤗https://huggingface.co/Subject-Emu-5259/NeuralAI 
Base Model(s)  SmolLM2 360M Instruct   HuggingFaceTB/SmolLM2-360M-Instruct
Model Size360m
Required VRAM1.5 GB
Updated2026-07-15
MaintainerSubject-Emu-5259
Model Typellama
Instruction-BasedYes
Model Files  0.5 GB: 1-of-3   0.5 GB: 2-of-3   0.5 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version5.5.4
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Errorsreplace

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Smollm3 720prms8K / 0.7 GB740
ProseFlow V1 360M Instruct8K / 0.7 GB41
SmolLM2 Rethink 360M8K / 1.4 GB51
SolaraV2 Coder 05118K / 0.7 GB41
BrainrotLM Assistant 362M8K / 0 GB90
SmolLM2 CoT 360M8K / 1.4 GB349
...n Combined Instruction Dataset8K / 1.4 GB61

Rank the NeuralAI Capabilities

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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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Release v20260328a