Add shared LUNA tokenizer (GPT-NeoX, vocab 50304)

README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: token-classification
+tags:
+- gpt-neox
+- tokenizer
+- pythia
+- luna
+- text-generation
+---
+
+# LUNA Tokenizer
+
+The **shared tokenizer** for the [LUNA model family](https://huggingface.co/ASTERIZER) — used by both [LUNA-100M](https://huggingface.co/ASTERIZER/LUNA-100M) and [LUNA-300M](https://huggingface.co/ASTERIZER/LUNA-300M).
+
+It is the **EleutherAI / Pythia-160m (GPT-NeoX) tokenizer**, extracted into a standalone repository so both models — and any future LUNA variants — reference a single canonical source.
+
+## Details
+
+| Property | Value |
+|---|---|
+| **Tokenizer class** | `GPTNeoXTokenizer` |
+| **Vocabulary size** | 50,304 (50,254 + EOS padding to multiple of 128) |
+| **BOS token** | `<|endoftext|>` (id 0) |
+| **EOS token** | `<|endoftext|>` (id 0) |
+| **UNK token** | `<|endoftext|>` |
+| **`add_prefix_space`** | false |
+| **Upstream** | EleutherAI/Pythia-160m (gpt-neox-20b lineage) |
+| **License** | Apache-2.0 (upstream EleutherAI tokenizer) |
+
+## Files
+
+| File | Description |
+|---|---|
+| `tokenizer.json` | Tokenizer vocabulary + merges (Hugging Face tokenizers format) |
+| `tokenizer_config.json` | Tokenizer configuration (`GPTNeoXTokenizer`, special tokens) |
+| `config.json` | Model-side config (`gpt_neox`, `vocab_size = 50304`) for reference |
+
+## Usage
+
+```python
+from transformers import AutoTokenizer
+
+tok = AutoTokenizer.from_pretrained("ASTERIZER/LUNA-Tokenizer")
+ids = tok.encode("Hello, LUNA!")
+print(tok.decode(ids))
+```
+
+## Related
+
+- [LUNA-100M](https://huggingface.co/ASTERIZER/LUNA-100M)
+- [LUNA-300M](https://huggingface.co/ASTERIZER/LUNA-300M)
+- [LUNA-100M Program](https://huggingface.co/collections/ASTERIZER/luna-100m-program-6a9115383c18e52460bf67c9)
+- [LUNA-300M Program](https://huggingface.co/collections/ASTERIZER/luna-300m-program-6a91195ab75671026f83ac94)