Baidu releases open-weight ERNIE 5.5 Flash Base model

21 sources
  • Baidu released ERNIE-5.5-Flash-Base on Thursday, a sparse mixture-of-experts model with 280 billion parameters, 14 billion of them active per token.
  • Baidu says it pre-trained the model on 33.5 trillion tokens and will follow with a chat-ready ERNIE 5.5 Flash later.
  • The license bars use in the EU, UK and South Korea, requires approval for large commercial users and limits distillation into other AI systems.
Sources (21)
  1. 1 ERNIE 5.5 Flash Base ernie.baidu.com
  2. 2 ERNIE-5.5-Flash-Base: 280B open weights, tight licence www.orcarouter.ai
  3. 3 LICENSE · baidu/ERNIE-5.5-Flash-Base at main huggingface.co
  4. 4 Baidu Releases ERNIE 5.5 Flash Base for Further Training www.unite.ai
  5. 5 Baidu huggingface.co
  6. 6 GitHub - baidu/vLLM-ERNIE: vLLM-based inference plugin for the open-source ERNIE models. github.com
  7. 7 Can You Run ERNIE 5.5 Flash Base Locally? 288 GB of FP8 and ... modelfit.io
  8. 8 Baidu open-sources ERNIE 5.5 Flash Base, a 280B model with 14B active www.techcityauthority.com
  9. 9 Baidu open-sourced Wenxin 5.5 Flash, with a total parameter of 280 billion www.chaincatcher.com
  10. 10 ERNIE 5.5 Flash Base: Local VRAM and Hardware Fit www.madebyagents.com
  11. 11 baidu/ERNIE-5.5-Flash-Base at main huggingface.co
  12. 12 Models – Hugging Face huggingface.co
  13. 13 Reportedly: Baidu open-sources ERNIE-5.5-Flash-Base, a 280B-parameter MoE model with 14B active parameters aigc.news
  14. 14 ERNIE-5.5-Flash vs GLM-5.3 Flash: MIT vs custom licence www.orcarouter.ai
  15. 15 ERNIE 5.5 Flash Base 开源- 前沿快讯 linux.do
  16. 16 ERNIE 5.5 Flash Base Model Release tldr.tech
  17. 17 Baidu releases ERNIE 5.5 Flash Base with a $50M commercial line in the fine print runtimewire.com
  18. 18 Explainers - mlllm.io mlllm.io
  19. 19 Baidu Drops ERNIE 5.5 Flash, a Raw 280B Open Checkpoint Beating DeepSeek | AlphaSignal alphasignal.ai
  20. 20 Baidu released ERNIE 5.5 Flash Base daily.dev
  21. 21 Baidu open-sources ERNIE 5.5 Flash Base in a race to cheap inference startupfortune.com