---
language:
- hu
license: mit
tags:
- hungarian
- causal-lm
- llama
- mlx
- apple-silicon
- sentencepiece
library_name: mlx
pipeline_tag: text-generation
model-index:
- name: csermely-mlx
  results: []
---

# Csermely (MLX)

**MLX version of Csermely** — a 138M parameter Hungarian language model optimized for Apple Silicon. Part of the [Emese](https://emese.tech) model family.

This is the native MLX bfloat16 checkpoint. For the HuggingFace transformers version, see [emese-tech/csermely](https://huggingface.co/emese-tech/csermely).

## Model Details

| | |
|---|---|
| **Parameters** | 137.8M |
| **Architecture** | LLaMA-style (decoder-only transformer) |
| **Context length** | 8,192 tokens (YaRN RoPE) |
| **Training context** | 2,048 tokens |
| **Precision** | bfloat16 |
| **Vocabulary** | 32,000 (SentencePiece Unigram, Hungarian) |
| **Training data** | ~1B tokens of Hungarian text |
| **Framework** | MLX (Apple Silicon) |
| **License** | MIT |

## Architecture

- 16 transformer layers
- 768 hidden dimension
- 12 attention heads
- 2048 FFN intermediate size
- RMSNorm pre-layer normalization
- Rotary positional embeddings (RoPE) with YaRN extension
- SwiGLU feed-forward activation
- Tied input/output embeddings

## Usage

```python
import mlx.core as mx
from model import Emese, ModelConfig

config = ModelConfig()
model = Emese(config)
model.load_weights("model.safetensors")
```