Together AI open-sources OSCAR for efficient LLM serving

Together AI has open-sourced OSCAR, a new system for 2-bit KV cache quantization. This technique aims to improve the efficiency of serving large language models, particularly those with long context windows. The development follows recent advancements in quantization methods like turboquant, suggesting a rapid evolution in LLM optimization. AI

IMPACT Enhances LLM serving efficiency, potentially enabling longer context windows and faster inference.

RANK_REASON Open-source release of a novel technique for LLM optimization. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

• KV cache quantization
• OSCAR
• Together AI
• turboquant

• infra
• model release

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