Instructions to use speedartificialintelligence1122/speedmini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use speedartificialintelligence1122/speedmini with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("speedartificialintelligence1122/speedmini", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 3,125 Bytes
6f3c7ed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | ---
license: apache-2.0
datasets:
- fka/awesome-chatgpt-prompts
language:
- en
- fr
- es
- de
- ch
- hr
metrics:
- bleu
new_version: black-forest-labs/FLUX.1-Kontext-dev
pipeline_tag: text-generation
library_name: adapter-transformers
tags:
- text-generation-inference
---
# 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 `X` tokens *(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 |