content.raw: Wow, this is amazing! 🤯
content.type: text
content.value: Wow, this is amazing! 🤯
content.type: new_line
content.raw: Samba is a powerful hybrid model with an unlimited context length, combining Mamba, MLP, Sliding Window Attention, and MLP stacking. Samba largest version, Samba-3.8B, trained on 3.2 trillion tokens, excels in benchmarks like MMLU, GSM8K, and HumanEval, and shines in long-context tasks with minimal tuning.
content.type: text
content.value: Samba is a powerful hybrid model with an unlimited context length, combining Mamba, MLP, Sliding Window Attention, and MLP stacking. Samba largest version, Samba-3.8B, trained on 3.2 trillion tokens, excels in benchmarks like MMLU, GSM8K, and HumanEval, and shines in long-context tasks with minimal tuning.
content.type: new_line
content.raw: ---
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content.raw: Official implementation of "Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling"
content.type: text
content.value: Official implementation of "Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling"
content.type: new_line
content.raw: Github: 
content.type: text
content.value: Github: 
content.href: https://github.com/microsoft/Samba
content.raw: https://github.com/microsoft/Samba
content.type: link
content.type: new_line
rawContent: Wow, this is amazing! 🤯
  Samba is a powerful hybrid model with an unlimited context length, combining Mamba, MLP, Sliding Window Attention, and MLP stacking. Samba largest version, Samba-3.8B, trained on 3.2 trillion tokens, excels in benchmarks like MMLU, GSM8K, and HumanEval, and shines in long-context tasks with minimal tuning.
  ---
  Official implementation of "Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling"
  Github: https://github.com/microsoft/Samba
  
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