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References (28)

[1]
Pretraining Large Language Models with NVFP4
2025Felix Abecassis, Anjulie S. Agrusa et al.
[2]
LongCat-Flash Technical Report
2025Meituan LongCat Team, Bayan et al.
[3]
gpt-oss-120b&gpt-oss-20b Model Card
2025OpenAI Sandhini Agarwal, Lama Ahmad et al.
[4]
Qwen2.5 Technical Report
2024Qwen An Yang, Baosong Yang et al.
[5]
Ascend HiFloat8 Format for Deep Learning
2024Yuanyong Luo, Zhongxing Zhang et al.
[6]
The Llama 3 Herd of Models
2024Abhimanyu Dubey, Abhinav Jauhri et al.
[7]
AI and Memory Wall
2024A. Gholami, Z. Yao et al.
[8]
DeepSeek-V3 Technical Report
2024DeepSeek-AI, A. Liu et al.
[9]
Microscaling Data Formats for Deep Learning
2023B. Rouhani, Ritchie Zhao et al.
[10]
Mistral 7B
2023Albert Qiaochu Jiang, Alexandre Sablayrolles et al.
[11]
Llama 2: Open Foundation and Fine-Tuned Chat Models
2023Hugo Touvron, Louis Martin et al.
[12]
A Comprehensive Overview of Large Language Models
2023Humza Naveed, Asad Ullah Khan et al.
[13]
CMMLU: Measuring massive multitask language understanding in Chinese
2023Haonan Li, Yixuan Zhang et al.
[14]
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
2023J. Ainslie, J. Lee-Thorp et al.
[15]
With Shared Microexponents, A Little Shifting Goes a Long Way
2023Bita Darvish Rouhani, Ritchie Zhao et al.
[16]
Training Verifiers to Solve Math Word Problems
2021K. Cobbe, Vineet Kosaraju et al.
[17]
Measuring Mathematical Problem Solving With the MATH Dataset
2021Dan Hendrycks, Collin Burns et al.
[18]
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point
2020B. Rouhani, Daniel Lo et al.
[19]
Measuring Massive Multitask Language Understanding
2020Dan Hendrycks, Collin Burns et al.
[20]
GLU Variants Improve Transformer
2020Noam Shazeer

Showing 20 of 28 references

Founder's Pitch

"HiFloat4 is an efficient data format for reducing hardware area and power consumption in deep learning inference."

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4/4 signals

10

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