metadata
tags:
- llaza
- zip2zip
- adaptive-tokenization
library_name: zip2zip
zip2zip-phi35-ozzdata-v1
Training checkpoint from zip2zip-core. This is a candidate model (not production-ready).
Training Config
| Field | Value |
|---|---|
| model_config | Phi3.5-mini |
| init_from | microsoft/Phi-3.5-mini-instruct |
| max_subtokens | 4 |
| max_codebook_size | 2048 |
| seq_len | 2048 |
| lr | 0.0003 |
| max_tokens | 262144000 |
| step | 8000 |
| data | phi-1B-sft-ozzaligned |
Usage
This is a training checkpoint (torchtitan format). To use for inference, export to HuggingFace format first:
python scripts/zip2zip_hf/export_to_zip2zip.py \
--ckpt_dir <local_path>/step_8000 \
--output_dir <export_dir> \
--base_model microsoft/Phi-3.5-mini-instruct \
--model_config Phi3.5-mini