What this is
- Trained from scratch (THOX-owned) — Apache-2.0.
- Base/completion model, not an instruction-tuned assistant.
- Best validation loss 2.6099 (internal eval).
Architecture (from config)
Table with columns: Field, Value| Field | Value |
|---|
| Architecture | LlamaForCausalLM |
| Layers | 12 |
| Hidden size | 768 |
| Attention heads | 12 |
| KV heads | 12 (full MHA, no GQA) |
| FFN / intermediate | 2048 |
| Vocab | 50,304 (GPT-2 r50k) |
| Max context | 1024 |
| Tied embeddings | yes |
| dtype | float16 |
Intended use
On-device / edge text generation within the THOX stack. Not a safety-aligned public assistant unless deployed behind THOX guardrails.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("Thox-ai/thox-micro-125m")
model = AutoModelForCausalLM.from_pretrained("Thox-ai/thox-micro-125m")
Links
THOX.ai LLC — Your AI. Your Data. Your Rules. · On-device and private by design.