๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Liquid AI
@liquidai
๊ฐ€์ž… March 2023
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Today we release ๐™ป๐™ต๐™ผ๐Ÿธ.๐Ÿป-๐Ÿธ๐Ÿบ๐™ฑ-๐™ฐ๐Ÿธ๐™ฑ, the largest ๐™ป๐™ต๐™ผ๐Ÿธ.๐Ÿป family member. It is an efficient local model for laptops and PCs to work through multi-step tasks inside popular agent harnesses. > 24B total parameters, 2B active per token > Context expanded to 131K tokens > A 128K-token vocabulary > 33T pretraining tokens > It is a reasoning model > Very easy to fine-tune and customize > Performs competitively with Qwen3.6-35B-A3B, a model with ~50% more total and active parameters, on agentic and tool-use tasks. > Open base and post-trained weights on @huggingface ๐Ÿค— 1/
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