Text Generation
PEFT
Safetensors
English
lora
conversational
fine-tuned
mamba
ssm
neuralai
base-model
Instructions to use Subject-Emu-5259/NeuralAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Subject-Emu-5259/NeuralAI with PEFT:
Base model is not found.
- Notebooks
- Google Colab
- Kaggle
| language: | |
| - en | |
| library_name: peft | |
| license: apache-2.0 | |
| tags: | |
| - lora | |
| - conversational | |
| - text-generation | |
| - peft | |
| - fine-tuned | |
| - mamba | |
| - ssm | |
| - neuralai | |
| - base-model | |
| model_id: Subject-Emu-5259/NeuralAI | |
| inference: false | |
| # π§ NeuralAI: The Generative AI Engine | |
| <p align="center"> | |
| <img src="neuralai_banner.svg" alt="NeuralAI β Your AI. On your hardware. In your browser." /> | |
| </p> | |
| <p align="center"> | |
| <a href="https://github.com/Subject-Emu-5259/NeuralAI"><img src="https://img.shields.io/badge/GitHub-NeuralAI-181717?logo=github" alt="GitHub"></a> | |
| <a href="https://huggingface.co/Subject-Emu-5259/NeuralAI"><img src="https://img.shields.io/badge/π€%20Hub-NeuralAI-FFD21E" alt="HF Hub"></a> | |
| <a href="https://huggingface.co/Subject-Emu-5259/NeuralAI-Mamba-K1"><img src="https://img.shields.io/badge/π€%20Hub-Mamba%20K1-blue" alt="Mamba K1"></a> | |
| <a href="https://huggingface.co/Subject-Emu-5259/NeuralAI-Mamba-K2"><img src="https://img.shields.io/badge/π€%20Hub-Mamba%20K2-green" alt="Mamba K2"></a> | |
| <a href="https://neuralai-web-ui-deandrewharris.zocomputer.io"><img src="https://img.shields.io/badge/Live-NeuralAI%20Web%20UI-6366f1" alt="Live UI"></a> | |
| </p> | |
| --- | |
| ## π Repository Composition | |
| | Language | Percentage | | |
| | --- | --- | | |
| | Python | 71.1% | | |
| | HTML | 13.0% | | |
| | JavaScript | 12.4% | | |
| | CSS | 2.6% | | |
| | Shell | 0.4% | | |
| | Jupyter Notebook | 0.3% | | |
| | Jinja | 0.2% | | |
| **The High-Velocity AI Engine for Your Entire Vibe Stack** | |
| NeuralAI is the central intelligence engine developed by **De'Andrew Preston Harris**. Conceived and engineered as an owned AI platform, it spans fine-tuned transformer models, custom SSM base models, DPO alignment, and a production web UI β all designed for local-first, private AI computing. | |
| --- | |
| ## ποΈ Model Family | |
| ```mermaid | |
| graph TB | |
| subgraph "NeuralAI Model Family" | |
| direction TB | |
| K1["𧬠Mamba K1<br/>130M · SFT 50 steps<br/>First Owned Base"] | |
| K2["𧬠Mamba K2<br/>793M · Q4_K_M GGUF<br/>460MB · Production"] | |
| K3["π¬ Mamba K3<br/>SFT 500-1000 steps<br/>10K+ UltraChat<br/>In Training"] | |
| K1 --> K2 --> K3 | |
| K2 --> PROD["π Active Inference<br/>LM Studio Β· 460MB RAM<br/>neuralai-web-ui.zocomputer.io"] | |
| end | |
| style K1 fill:#4a90d9,color:#fff | |
| style K2 fill:#22c55e,color:#fff | |
| style K3 fill:#f59e0b,color:#000 | |
| style PROD fill:#10b981,color:#fff | |
| ``` | |
| ### Complete Lineup | |
| | Model | Architecture | Params | Training | Status | Location | | |
| |-------|-------------|--------|----------|--------|----------| | |
| | **Mamba K1** | Mamba SSM | 130M | SFT LoRA 500 steps on 1K UltraChat (intel format) | π Retraining for chat coherence | `Subject-Emu-5259/NeuralAI-Mamba-K1` | | |
| | **Mamba K2** | Mamba SSM | 793M | Base pretrained β SFT queued (Q4_K_M GGUF) | β οΈ Base model only | `Subject-Emu-5259/NeuralAI-Mamba-K2` | | |
| | **Mamba K3** | Mamba SSM | 2.8B | Base pretrained β SFT queued | β οΈ Base model only | local `models/mamba-k3-base/` | | |
| ### Why Mamba SSM | |
| | Property | Benefit | | |
| |----------|--------| | |
| | Complexity | \(O(n)\) linear β scales to long context efficiently | | |
| | Inference | Fast at any sequence length, not just short prompts | | |
| | Memory | K2 runs at 460MB (Q4_K_M GGUF) β fits on any device | | |
| | Ownership | NeuralAI trains and merges all release weights on top of public Mamba SSM bases β every released GGUF is a fully merged model, not a raw base | | |
| | Ecosystem | LM Studio, llama.cpp, Hugging Face β mature deployment options | | |
| --- | |
| ## π Vision & Manifesto | |
| NeuralAI doesn't just predict text; it *operates the work*. The core mission is to create a multimodal generative system that bridges the gap between raw idea and execution. By fusing autoregressive generation with adaptive agency, NeuralAI becomes more than a chatbot β it is a persistent, reasoning partner. | |
| Born from resilience and ambition in Memphis, Tennessee and West Memphis, Arkansas, NeuralAI represents a forward-thinking approach to personal, private AI computing. | |
| --- | |
| ## π οΈ Tech Stack & Architecture | |
| NeuralAI is built on a high-performance architecture that decouples the inference engine from the web interface, enabling lightweight cloud hosting with powerful local inference. | |
| ### Core Stack | |
| - **Production Model**: Mamba K2 793M Q4_K_M GGUF (460MB) via llama.cpp β active inference engine | |
| - **Model Family**: Mamba K1 (130M, SFT LoRA retry) β Mamba K2 (793M base GGUF) β Mamba K3 (2.8B base) | |
| - **Inference Engine**: llama.cpp server with a custom `neuralai-intel` chat format (vocabulary-friendly for GPT-NeoX / Mamba tokenizers) | |
| - **Vocal Identity**: Andrew (Warm/Multilingual) β Optional voice synthesis integration | |
| - **Web Interface**: Custom Flask UI served via Zo Computer at `neuralai-web-ui-deandrewharris.zocomputer.io` | |
| - **Tool Chain**: 10 live slash commands (/web, /fetch, /browse, /research, /img, /speak, /summarize, /translate, /news, /yt) + NLβTool Router | |
| ### Future Scale Path | |
| | Stage | Params | Goal | Status | | |
| |-------|--------|------|--------| | |
| | **Mamba K1 SFT v2** | 130M | Finish 500-step SFT with intel format + GGUF | π Active | | |
| | **Mamba K2 SFT** | 793M | SFT LoRA 500 steps β merge β Q4_K_M GGUF | π Next | | |
| | **Mamba K3 SFT** | 2.8B | SFT LoRA 1000 steps β merge β Q4_K_M GGUF | π Next | | |
| | **Mamba 2B/3B** | ~2-3B | Scaled SSM architecture, benchmarks | π Planned | | |
| --- | |
| ## β¨ Key Features & Capabilities | |
| ### π¬ Multimodal Chat & Agentic Intelligence | |
| - **High-Velocity Text Inference**: Fast, local inference with deep context awareness | |
| - **Deep Reasoning Mode**: Integration of test-time compute and chain-of-thought reasoning | |
| - **Autonomous Agentic Workflows**: Agent-mode interaction with browser, terminal, and third-party apps | |
| - **Live S2S (Speech-to-Speech)**: Real-time voice interaction with integrated microphone interface | |
| - **Identity Vault & Memory**: Persistent user memory and rule constraints | |
| ### π§ Developer & Engineering Tools | |
| - **10 Web Tool Commands**: Search, fetch, browse, research, image gen, TTS, summarize, translate, news, YouTube | |
| - **NLβTool Router**: Natural language web requests auto-routed to the right tool | |
| - **Model Manager**: CLI switching between all registered models | |
| - **Benchmark Suite**: Perplexity, generation diversity, MMLU-style, reasoning tests | |
| --- | |
| ## π Model Lineage | |
| ```mermaid | |
| timeline | |
| title NeuralAI Model Evolution | |
| : Custom 135M base SFT | |
| 2026 Q3 : Mamba K1 β First owned base | |
| : 130M SSM Β· Proof of Concept | |
| 2026 Q3 : Mamba K2 β Scaled base | |
| : 790M Q4_K_M Β· GGUF ready | |
| 2026 Q3 : Mamba K3 β Full SFT | |
| : 500-1000 steps Β· 10K+ samples | |
| 2026 Q4 : Mamba 2B/3B β Next scale targets | |
| : 2B SSM β 3B Core Intelligence | |
| ``` | |
| --- | |
| ## π Deployment | |
| ```bash | |
| # 1. Start the inference service | |
| cd NeuralAI | |
| supervisorctl -c /etc/zo/supervisord-user.conf restart neuralai-lmstudio | |
| # 2. Start the web UI service | |
| python3 services/webui_service.py | |
| ``` | |
| ### Mamba K2 (LM Studio / llama.cpp) | |
| ```bash | |
| # Download from HuggingFace | |
| huggingface-cli download Subject-Emu-5259/NeuralAI-Mamba-K2 \ | |
| mamba-790m-hf.Q4_K_M.gguf --local-dir ./models/ | |
| # Serve with the NeuralAI chat format | |
| python3 services/lmstudio_server.py \ | |
| --model models/mamba-790m-hf.Q4_K_M.gguf \ | |
| --chat_format neuralai-intel \ | |
| --port 1234 | |
| ``` | |
| ### Mamba K1 (Python) | |
| ```python | |
| from transformers import MambaForCausalLM, AutoTokenizer | |
| model = MambaForCausalLM.from_pretrained("Subject-Emu-5259/NeuralAI-Mamba-K1") | |
| tokenizer = AutoTokenizer.from_pretrained("Subject-Emu-5259/NeuralAI-Mamba-K1") | |
| ``` | |
| ### Containerized Deployments | |
| | Deployment | Dockerfile | Stack | Status | | |
| | --- | --- | --- | --- | | |
| | **Web Chat** | `services/start_lmstudio.sh` + Flask UI | llama.cpp + `neuralai-web-ui.zocomputer.io` | β Live | | |
| --- | |
| ## π NeuralAI Ecosystem | |
| The standalone software implementation of the NeuralAI core is **NeuralLabs**: | |
| π [github.com/Subject-Emu-5259/NeuralLabs](https://github.com/Subject-Emu-5259/NeuralLabs) | |
| **Software Downloads**: Latest beta builds available at: | |
| π [zo.pub/deandrewharris/neurallabs-beta](https://zo.pub/deandrewharris/neurallabs-beta) | |
| --- | |
| ## π Current State & Active Goals | |
| - **Legacy DPO v17 / Air 135M / SmolLM2-360M**: Retired and removed from the repository | |
| - **Mamba K1**: First owned SSM base model β retraining with intel-format SFT for coherent chat (Colab/GPU) | |
| - **Mamba K2**: Base pretrained GGUF ready β awaiting SFT | |
| - **Mamba K3**: 2.8B base downloaded β awaiting SFT | |
| - **Last Maintenance**: August 1, 2026 (Mamba Era β fix chat format + retrain pipeline) | |
| --- | |
| ## π€ Creator | |
| Built by **De'Andrew Preston Harris** ([@deandrewharris94](https://linkedin.com/in/deandrewharris94/)) with Google Gemini AI Studio/Colab collaboration. | |
| From Memphis, Tennessee. Raised in West Memphis, Arkansas. AI Software Engineering at Maestro College. | |
| --- | |
| # NeuralAI β Hugging Face sync is live | |