Cerebras

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CerebrasSystems

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Recent Activity

taesiri submitted a paper 29 days ago

Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference

melhoushi authored a paper about 1 month ago

Calibrating Beyond English: Language Diversity for Better Quantized Multilingual LLM

melhoushi authored a paper about 1 month ago

Gated Recurrent Transformers: Expressive Depth through Recurrent Modulation

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Papers

Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference

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cerebras 's models 39

cerebras/Step-3.5-Flash-REAP-121B-A11B

Text Generation • 121B • Updated Feb 25 • 165 • 15

cerebras/Step-3.5-Flash-REAP-149B-A11B

Text Generation • 149B • Updated Feb 25 • 160 • 5

cerebras/MiniMax-M2.5-REAP-172B-A10B

Text Generation • 173B • Updated Feb 18 • 163 • 27

cerebras/MiniMax-M2.5-REAP-139B-A10B

Text Generation • 139B • Updated Feb 18 • 179 • 29

cerebras/MiniMax-M2.1-REAP-139B-A10B

Text Generation • 139B • Updated Jan 28 • 289 • 32

cerebras/MiniMax-M2.1-REAP-172B-A10B

Text Generation • 173B • Updated Jan 28 • 148 • 10

cerebras/GLM-4.7-Flash-REAP-23B-A3B

Text Generation • 23B • Updated Jan 23 • 455 • 81

cerebras/GLM-4.7-REAP-268B-A32B

Text Generation • 269B • Updated Jan 22 • 152 • 19

cerebras/GLM-4.7-REAP-218B-A32B

Text Generation • 218B • Updated Jan 12 • 167 • 33

cerebras/GLM-4.7-REAP-268B-A32B-FP8

Text Generation • 269B • Updated Jan 10 • 50 • 8

cerebras/GLM-4.7-REAP-218B-A32B-FP8

Text Generation • 218B • Updated Jan 10 • 88 • 16

cerebras/DeepSeek-V3.2-REAP-508B-A37B

Text Generation • 508B • Updated Dec 9, 2025 • 191 • 15

cerebras/DeepSeek-V3.2-REAP-345B-A37B

Text Generation • 345B • Updated Dec 9, 2025 • 184 • 34

cerebras/MiniMax-M2-REAP-139B-A10B

Text Generation • 139B • Updated Nov 17, 2025 • 163 • 18

cerebras/MiniMax-M2-REAP-162B-A10B

Text Generation • 162B • Updated Nov 15, 2025 • 167 • 81

cerebras/MiniMax-M2-REAP-172B-A10B

Text Generation • 173B • Updated Nov 15, 2025 • 152 • 23

cerebras/Kimi-Linear-REAP-35B-A3B-Instruct

Text Generation • 35B • Updated Nov 6, 2025 • 967 • 70

cerebras/Qwen3-Coder-REAP-363B-A35B

Text Generation • 363B • Updated Oct 30, 2025 • 148 • 6

cerebras/Qwen3-Coder-REAP-246B-A35B

Text Generation • 246B • Updated Oct 30, 2025 • 91 • 8

cerebras/GLM-4.5-Air-REAP-82B-A12B-FP8

Text Generation • 82B • Updated Oct 27, 2025 • 52 • 6

cerebras/GLM-4.6-REAP-268B-A32B

Text Generation • 269B • Updated Oct 24, 2025 • 155 • 12

cerebras/GLM-4.6-REAP-252B-A32B

Text Generation • 252B • Updated Oct 24, 2025 • 105 • 4

cerebras/GLM-4.6-REAP-218B-A32B

Text Generation • 218B • Updated Oct 23, 2025 • 153 • 17

cerebras/GLM-4.6-REAP-218B-A32B-FP8

Text Generation • 218B • Updated Oct 23, 2025 • 97 • 44

cerebras/GLM-4.6-REAP-252B-A32B-FP8

Text Generation • 252B • Updated Oct 23, 2025 • 26 • 6

cerebras/GLM-4.6-REAP-268B-A32B-FP8

Text Generation • 269B • Updated Oct 23, 2025 • 82 • 12

cerebras/GLM-4.5-Air-REAP-82B-A12B

Text Generation • 82B • Updated Oct 21, 2025 • 268 • 116

cerebras/Qwen3-Coder-REAP-25B-A3B

Text Generation • 25B • Updated Oct 20, 2025 • 357 • 90

cerebras/Qwen3-Coder-REAP-363B-A35B-FP8

Text Generation • 363B • Updated Oct 14, 2025 • 67 • 17

cerebras/Qwen3-Coder-REAP-246B-A35B-FP8

Text Generation • 246B • Updated Oct 14, 2025 • 48 • 22