NeuralAI
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NeuralAI · An independent AI lab · West Memphis, Arkansas

Trained from scratch. Every single weight owned.

NEA1 is a 100M-parameter language model designed, tokenized, and trained entirely in-house — no borrowed weights, no API wrappers, no borrowed identity. It chats live below, holds a conversation, and calls tools mid-answer.

100.1M
parameters, from scratch
768M
FineWeb pretraining tokens
32k
custom byte-level BPE tokenizer
Apache 2.0
open weights & model card

Live model

Talk to NEA1 — right here

This is the real model on NeuralAI's own inference stack, streaming token by token. Ask it a question, follow up on its answer, or give it a page to fetch. First reply can take a few seconds while the backend wakes.

NEA1SFT v13.2 · step 12,000 · full conversation memory
Hey, I'm NeuralAI

Ask me anything — then follow up. I remember the conversation, switch topics with you, and I'll fetch a page or tell you plainly when a tool isn't available.

NEA1 is a research model and can make mistakes. When a tool is unavailable it will say so rather than invent an answer.

The model

NEA1, on the record

A 12-layer Llama-style transformer with a tokenizer we built ourselves — released with its model card and evaluation results.

Built, not assembled. NEA1's architecture, tokenizer, and training pipeline were written from first principles. The base model pretrained on 768M FineWeb tokens; the SFT line then taught it conversation, follow-ups, recall, and tool use — one version at a time, each gated on published evals.

Small on purpose. At 100M parameters NEA1 runs on commodity CPUs with room to spare. It is a research instrument and a proof of sovereignty: a lab this size can own its whole stack.

Open. Weights, tokenizer, and eval reports are public under Apache 2.0 on Hugging Face and GitHub.

Architecture12-layer Llama-style transformer
Parameters100,111,872
AttentionGrouped-query attention · 12 query / 4 KV heads
PositionRoPE (θ = 1,000,000)
MLPSwiGLU
NormalizationLayerNorm with bias
TokenizerCustom byte-level BPE · 32k vocabulary
Context2,048 tokens
Pretraining768M tokens · FineWeb
Serving checkpointSFT v13.2 · step 12,000
LicenseApache 2.0

Benchmarks

Measured, not marketed

Every SFT version ships only after clearing the same gate. These are the serving checkpoint's numbers, exactly as evaluated.

34.5 / 40
Golden-40 tool-use eval · 86.2%
Tool calls 38/40Grounded answers 31/40
11 / 12
Multi-turn conversation suite
Topic switches · follow-ups · recallZero parroting
48.01
Fluency guardrail perplexity
50-document FineWeb sampleGate bar ≤ 52

Roadmap

Where NEA1 is

LIVE NOW

SFT v13.2

The date line, closed: full month-boundary tomorrow rolls and honest no-date declines — behind the same release gate. Serving above and on the full chat.

NEXT

SFT v14

The Awareness update: source awareness, calibrated uncertainty, and live data streams — behind the same release gate.

SHIPPED

SFT v12.2

The previous production checkpoint. Superseded by v13.2; kept public as the prior release.

Company

An independent lab, on purpose

NeuralAI was founded by DeAndrew Preston Harris in West Memphis, Arkansas, with a conviction that has not moved: AI sovereignty starts with owning the fundamentals — the architecture, the tokenizer, the data, and the weights — rather than renting intelligence through someone else's API.

NEA1 is the lab's first model and its public proof of work: small, open, and honest about what it can and cannot do.

Contact

Work with the lab

Research partnerships, model access, and general inquiries.