LLM from Scratch — 1B Model
GPT-style decoder-only transformer trained from scratch with custom framework.
Architecture
- Parameters: ~1.07B
- Layers: 20
- d_model: 2048
- Heads: 32
- Context: 1024 tokens
- Vocab: 32K BPE
- Norm: RMSNorm
- Position: RoPE
Training
- Warm-start from 113M base (v0)
- 5000 steps on FineWeb-Edu (30B tokens)
- AdamW, lr=1.5e-4, cosine schedule
- CPU-only training
Framework
Custom multi-agent framework in agents/:
- Architect (model design)
- Data Engineer (corpus preparation)
- Trainer (training loop)
- Curator (checkpoint management)
- Orchestrator (coordination)
Code
Full source code: https://github.com/plastininmixail-ai/llm-from-scratch-1b
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