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gist-sparse-attention
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GSA-PT-Qwen2-7B-Instruct-chunk4-chunk4-data

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gsa
gist-sparse-attention
long-context
pretraining
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2.61k
20k
labels
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int64
2.61k
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int64
0
587k
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2.61k
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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

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Source
tokens.
Chunk size
chunk4-chunk4
Number of rows:
57,200
Estimated number of rows:
88,459
Total file size:
7.92 GB

Collection including gist-sparse-attention/GSA-PT-Qwen2-7B-Instruct-chunk4-chunk4-data