mdonigian/curated-pretraining
Curated Pre-Tokenized Training Dataset Pre-tokenized training data for a 500M parameter LLaMA-style model optimized for structured output tasks (JSON generation, function calling, schema compliance). Format Binary shards of packed uint16 token sequences. Each shard has a 16-byte header followed by contiguous sequences of 2048 tokens. Tokenizer: EleutherAI/gpt-neox-20b (vocab size: 50,304) Context length: 2048 Total tokens: 19.86B Total sequences: 9,696,327… See the full description on the dataset page: https://huggingface.co/datasets/mdonigian/curated-pretraining.
| Author / organization | mdonigian |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 874 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 22 February 2026 |
| Last updated at source | 22 February 2026 |
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- 17 Oct 2026 Description: Curated Pre-Tokenized Training Dataset Pre-tokenized training data for a 500M parameter LLaMA-style model optimized for structured output tasks (JSON generation, function calling, schema compliance). Format Binary shards of packed uint16 to → Curated Pre-Tokenized Training Dataset Pre-tokenized training data for a 500M parameter LLaMA-style model optimized for structured output tasks (JSON generation, function calling, schema compliance). Format Binary shards of packed uint16 to
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