elonmuskceo/InfLLM-V2-data-5B
InfLLM-V2 Long-Context Training Dataset with 5B Tokens Project Links: [Paper] [InfLLM-V2 Models] [CUDA Kernel Code] 🚀 About InfLLM-V2 InfLLM-V2 is a native sparse attention framework designed for the efficient processing of long-sequence texts. Its core advantage is the ability to maintain high performance comparable to dense attention in short-text scenarios—without any extra parameters—while seamlessly switching to a sparse mode for long-text scenarios… See the full description on the dataset page: https://huggingface.co/datasets/elonmuskceo/InfLLM-V2-data-5B.
| Author / organization | elonmuskceo |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 214 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 December 2025 |
| Last updated at source | 3 December 2025 |
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- 16 Oct 2026 Description: InfLLM-V2 Long-Context Training Dataset with 5B Tokens Project Links: [Paper] [InfLLM-V2 Models] [CUDA Kernel Code] 🚀 About InfLLM-V2 InfLLM-V2 is a native sparse attention framework designed for the efficient processing of long-sequence t → InfLLM-V2 Long-Context Training Dataset with 5B Tokens Project Links: [Paper] [InfLLM-V2 Models] [CUDA Kernel Code] 🚀 About InfLLM-V2 InfLLM-V2 is a native sparse attention framework designed for the efficient processing of long-sequence t
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