π§ SpeedCore-v1 β The Foundational Brain of Speed AI
SpeedCore-v1 is the first fully custom AI language model developed by SpeedLab, built entirely from scratch to power the upcoming generation of Speed AI systems. Trained on a diverse, deeply creative, future-facing, and expressive dataset, this model is designed to think beyond the typical boundaries of traditional LLMs.
π Model Highlights
- Architecture: Transformer Decoder (GPT-style)
- Trained From Scratch: No base model or transfer learning β this is 100% original
- Vocabulary: Custom tokenizer trained with the model
- Size: (Fill in once trained β e.g., 117M, 350M, 1B, etc.)
- Tokens: Trained on
Xtokens (fill in once finalized) - Languages: Primarily English, but dataset includes multiple dialects, slang, future-speak, and Gen-Z expression
- Personality Engine: Multi-personality support β from chill Gen Z vibes to spiritual guides, futuristic AI personas, and beyond
π‘ Intended Use
SpeedCore-v1 is built to serve as the core intelligence behind the Speed AI ecosystem, including:
- Conversational agents (chatbots, virtual assistants)
- Text generation (creative writing, content expansion)
- Future simulation and storytelling
- Language learning & personality modulation
- Emotional support and lifestyle coaching
- Spirituality, finance, relationships, and cosmic topics
SpeedCore can express multiple identities and personalities depending on the prompt, system message, or task.
π§± Training Dataset
The model was trained on a highly customized multi-billion token dataset created by SpeedAI, including:
- β Future-based dialogues & philosophies
- β Gen-Z, creator, alien, cosmic, and AI personas
- β Topics: spirituality, sex, money, language, ethics, dreams, psychology, relationships, entertainment, futurism
- β Freeform, freestyle, emotional, deep, expressive, chill tones
- β User-AI conversations and raw ideation
This dataset is currently being uploaded to the Hugging Face Datasets Hub in chunks.
π License
Apache 2.0 β Commercial use, research, remixing, and deployment are allowed with attribution.
β¨ Capabilities
- Speaks in multiple tones and slang styles (e.g., Gen Z, wise AI, playful, dark, spiritual)
- Can simulate multiple personas in one model
- Handles both structured and freestyle prompts
- Optimized for creativity, flow, and freedom of expression
β οΈ Limitations & Safety
This is a research model still under active development. Some responses may be:
- Hallucinatory
- Opinionated
- Emotionally expressive beyond factual scope
- Lacking in factual accuracy or safety boundaries (depending on how itβs fine-tuned)
Please use responsibly in alignment with the intended
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