Text Generation
Adapters
gpt2
text-generation-inference
chemistry
finance
legal
biology
music
climate
medical
code
art
Merge
Instructions to use speedartificialintelligence1122/speedcore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use speedartificialintelligence1122/speedcore with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("speedartificialintelligence1122/speedcore", set_active=True) - Notebooks
- Google Colab
- Kaggle
SpeedAI Base 125M (v1)
SpeedAI is a foundational language model developed by SpeedTech and AI Group of Companies. This is our first open-source base model β trained from scratch β representing our mission to build Africa-powered, global-scale AI systems.
π§ Model Details
- Architecture: GPT-style Transformer (decoder-only)
- Parameters: 125M
- Layers: 12
- Hidden Size: 768
- Heads: 12
- Context Length: 2048
- Vocabulary Size: 50,257 (custom tokenizer)
π¦ Files
config.json: Model architecturetokenizer/: Trained tokenizer folderpytorch_model.bin: Model weights (to be uploaded)generation_config.json: Generation settings
π About Speed AI
Speed AI is part of SpeedTech Group, a technology powerhouse including:
- πΈ SpeedPay (Fintech & payments)
- π§ SpeedStream (Streaming platform)
- π΅ SpeedMusic (Music distribution)
- β‘ SpeedUp (Productivity & automation tools)
Learn more: https://speedtech.group
π§ License
MIT β Open, transparent, and free to use (v1).
Weβre building from scratch, not fine-tuning someone elseβs brain. Join us as we shape the future of real-time, human-level AI from the ground up.
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