gist-sparse-attention/GSA-PT-Qwen2-7B-Instruct-chunk4-chunk4-data
GSA-PT-Qwen2-7B-Instruct-chunk4-chunk4-data This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk4-chunk4. Each sample is tokenized and formatted with GSA gist tokens for continue pretraining. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Model yuzhenm/GSA-PT-Qwen2-7B-Instruct-chunk4-chunk4 — model trained on this… See the full description on the dataset page: https://huggingface.co/datasets/gist-sparse-attention/GSA-PT-Qwen2-7B-Instruct-chunk4-chunk4-data.
GSA-PT-Qwen2-7B-Instruct-chunk4-chunk4-data
This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk4-chunk4.
Dataset Description
- Source: Filtered from FineWeb (sample-10BT), keeping samples with sequence lengths ranging from 2K to 4K tokens.
- Chunk size:
chunk4-chunk4
Each sample is tokenized and formatted with GSA gist tokens for continue pretraining.
Paper
GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding
Related Model
- yuzhenm/GSA-PT-Qwen2-7B-Instruct-chunk4-chunk4 — model trained on this dataset
