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Liquid AI
@liquidai
Joined March 2023
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Today we release đ™ģđ™ĩđ™ŧ𝟸.đŸģ-𝟸đŸē𝙱-𝙰𝟸𝙱, the largest đ™ģđ™ĩđ™ŧ𝟸.đŸģ 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 🤗 1/
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