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01gist-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 dataset tabular10K<n<100K0 likes363 downloads6mo agoHugging Face02GwendalTsang /repro-incremental-learning-of-sparse-attention-patterns-in-transformers-bundle Reproduction bundle — Incremental Learning of Sparse Attention Patterns in Transformers ICML 2026 paper #12503 · OpenReview vSRh1qU5sH · arXiv 2602.19143 Everything needed to re-run the reproduction whose results are recorded in the Trackio logbook GwendalTsang/repro-incremental-learning-of-sparse-attention-patterns-in-transformers. Layout upstream/ the authors' official code, vendored unchanged… See the full description on the dataset page: https://huggingface.co/datasets/GwendalTsang/repro-incremental-learning-of-sparse-attention-patterns-in-transformers-bundle.0 likes276 downloads2mo agoHugging Face03gist-sparse-attention /GSA-PT-Qwen2-7B-Instruct-chunk16-data GSA-PT-Qwen2-7B-Instruct-chunk16-data This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk16. 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-chunk16 — model trained on this dataset tabular10K<n<100K0 likes266 downloads6mo agoHugging Face04gist-sparse-attention /GSA-PT-Llama-3.2-1B-chunk8-data GSA-PT-Llama-3.2-1B-chunk8-data This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models with chunk size chunk8. Each sample is tokenized and formatted with GSA gist tokens for continued pretraining. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Models yuzhenm/GSA-PT-Llama-3.2-1B-chunk8 — model trained on this dataset 0 likes253 downloads6mo agoHugging Face05gist-sparse-attention /GSA-FT-Qwen2-7B-Instruct-chunk4-chunk4-data GSA-FT-Qwen2-7B-Instruct-chunk4-chunk4-data This is the supervised fine-tuning 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 supervised fine-tuning. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Model yuzhenm/GSA-FT-Qwen2-7B-Instruct-chunk4-chunk4 — model trained on this dataset 0 likes151 downloads6mo agoHugging Face06gist-sparse-attention /GSA-PT-Llama-3.2-1B-chunk16-data GSA-PT-Llama-3.2-1B-chunk16-data This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models with chunk size chunk16. Each sample is tokenized and formatted with GSA gist tokens for continued pretraining. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Models yuzhenm/GSA-PT-Llama-3.2-1B-chunk16 — model trained on this dataset 0 likes126 downloads6mo agoHugging Face07gist-sparse-attention /GSA-FT-Qwen2-7B-Instruct-chunk8-chunk4-data GSA-FT-Qwen2-7B-Instruct-chunk8-chunk4-data This is the supervised fine-tuning dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk8-chunk4. Each sample is tokenized and formatted with GSA gist tokens for supervised fine-tuning. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Model yuzhenm/GSA-FT-Qwen2-7B-Instruct-chunk8-chunk4 — model trained on this dataset 0 likes124 downloads6mo agoHugging Face08gist-sparse-attention /GSA-PT-Qwen2-7B-Instruct-chunk32-data GSA-PT-Qwen2-7B-Instruct-chunk32-data This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk32. 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-chunk32 — model trained on this dataset 0 likes113 downloads6mo agoHugging Face09gist-sparse-attention /GSA-FT-Qwen2-7B-Instruct-chunk32-data GSA-FT-Qwen2-7B-Instruct-chunk32-data This is the supervised fine-tuning dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk32. Each sample is tokenized and formatted with GSA gist tokens for supervised fine-tuning. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Model yuzhenm/GSA-FT-Qwen2-7B-Instruct-chunk32 — model trained on this dataset tabular10K<n<100K0 likes107 downloads6mo agoHugging Face10gist-sparse-attention /GSA-PT-Qwen2-7B-Instruct-chunk8-data GSA-PT-Qwen2-7B-Instruct-chunk8-data This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk8. 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-chunk8 — model trained on this dataset tabular10K<n<100K0 likes90 downloads6mo agoHugging Face11gist-sparse-attention /GSA-PT-Qwen2-7B-Instruct-chunk8-chunk4-data GSA-PT-Qwen2-7B-Instruct-chunk8-chunk4-data This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk8-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-chunk8-chunk4 — model trained on this dataset tabular10K<n<100K0 likes70 downloads6mo agoHugging Face12gist-sparse-attention /GSA-PT-Llama-3.2-1B-chunk4-chunk4-data GSA-PT-Llama-3.2-1B-chunk4-chunk4-data This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models with chunk size chunk4-chunk4. Each sample is tokenized and formatted with GSA gist tokens for continued pretraining. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Models yuzhenm/GSA-PT-Llama-3.2-1B-chunk4-chunk4 — model trained on this dataset 0 likes59 downloads6mo agoHugging Face13gist-sparse-attention /GSA-FT-Qwen2-7B-Instruct-chunk16-data GSA-FT-Qwen2-7B-Instruct-chunk16-data This is the supervised fine-tuning dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk16. Each sample is tokenized and formatted with GSA gist tokens for supervised fine-tuning. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Model yuzhenm/GSA-FT-Qwen2-7B-Instruct-chunk16 — model trained on this dataset 0 likes59 downloads6mo agoHugging Face14gist-sparse-attention /GSA-FT-Llama-3.2-1B-data GSA-FT-Llama-3.2-1B-data This is the supervised fine-tuning dataset used for training GSA (Gist Sparse Attention) models based on Llama-3.2-1B. The answers to the questiosn are generated by Deepseek-V3.2 Each sample is formatted with GSA gist tokens for instruction fine-tuning. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Models yuzhenm/GSA-FT-Llama-3.2-1B-chunk8 yuzhenm/GSA-FT-Llama-3.2-1B-chunk16… See the full description on the dataset page: https://huggingface.co/datasets/gist-sparse-attention/GSA-FT-Llama-3.2-1B-data.0 likes23 downloads6mo agoHugging Face15gist-sparse-attention /GSA-FT-Qwen2-7B-Instruct-chunk8-data GSA-FT-Qwen2-7B-Instruct-chunk8-data This is the supervised fine-tuning dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk8. Each sample is tokenized and formatted with GSA gist tokens for supervised fine-tuning. Paper GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding Related Model yuzhenm/GSA-FT-Qwen2-7B-Instruct-chunk8 — model trained on this dataset 0 likes19 downloads6mo agoHugging Face16shiqihe /WebVoyager-GAIA-SparseAttention-Offline-Qwen3-VL-30B-A3Bgated Sparse Attention for Web Agents — Offline Replay Records Step-level records from an offline replay study comparing three sparse-attention methods against full attention on browser-agent trajectories. Model: Qwen3-VL-30B-A3B-Instruct (48 layers, 128 experts / 8 active, GQA 32:4, head_dim 128) Hardware: NVIDIA GB10 (sm_121) Tasks: 50 complete trajectories sampled from WebVoyager + GAIA — 332 steps, of which 190 emit an element index. Every task was completed successfully by the… See the full description on the dataset page: https://huggingface.co/datasets/shiqihe/WebVoyager-GAIA-SparseAttention-Offline-Qwen3-VL-30B-A3B.textother1K<n<10K0 likes9 downloads1mo agoHugging Face

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