---
language:
  - hy
license: apache-2.0
tags:
  - armenian
  - gpt
  - text-generation
  - causal-lm
pipeline_tag: text-generation
---

# ArmGPT (110M)

A GPT language model trained on Armenian text data.

## Model Details

| Property | Value |
|----------|-------|
| Parameters | 109,923,072 (110M) |
| Architecture | Transformer (RMSNorm, SwiGLU, RoPE) |
| Layers | 12 |
| Heads | 12 |
| Embedding dim | 768 |
| Context length | 512 tokens |
| Vocab size | 16,000 |
| Tokenizer | BPE (SentencePiece) |
| Training steps | 24,000 |

## Training Data

Trained on Armenian text from multiple sources:
- Armenian Wikipedia
- CC-100 Armenian
- CulturaX Armenian
- OSCAR Armenian
- HPLT Armenian
- Glot500 Armenian

## Usage

```python
import torch
import json
from core.model import GPT
from core.bpe_tokenizer import BPETokenizer

# Load model
checkpoint = torch.load("model.pt", map_location="cpu")
with open("config.json") as f:
    cfg = json.load(f)

tokenizer = BPETokenizer.load("tokenizer.json")

model = GPT(
    vocab_size=cfg["vocab_size"],
    n_layer=cfg["n_layer"],
    n_head=cfg["n_head"],
    n_embd=cfg["n_embd"],
    block_size=cfg["block_size"],
    dropout=0.0,
)
model.load_state_dict(checkpoint)
model.eval()

# Generate text
prompt = "Հայաստան"
ids = tokenizer.encode(prompt)
context = torch.tensor([ids], dtype=torch.long)
output = model.generate(context, max_new_tokens=200, temperature=0.8, top_k=40)
print(tokenizer.decode(output[0].tolist()))
```

## License

Apache 2.0