light_gpt_text_generator
Overview
light_gpt_text_generator is a distilled, 6-layer generative Transformer based on the GPT-2 architecture. It is optimized for low-latency text completion and creative writing tasks where computational resources are limited (Edge devices/Mobile).
Model Architecture
- Type: Causal Language Model (Decoder-only)
- Layers: 6 Transformer blocks (Reduced from GPT-2 Base's 12).
- Embedding Dim: 768
- Heads: 12 Multi-head self-attention.
- Tokenizer: Byte-level Byte Pair Encoding (BPE).
Intended Use
- Real-time autocomplete for code or prose.
- Creative writing assistance and brainstorming.
- Chatbot prototyping for specific domains.
Limitations
- Hallucination: High tendency to generate factually incorrect information.
- Coherence: Difficulty maintaining logical consistency over very long passages (>500 words).
- Safety: Lack of an integrated RLHF layer means the model may generate toxic or biased content if prompted inappropriately.