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Liquid AI 发布 LFM2.5-24B-A2B，为 LFM2.5 系列最大成员，总参数 24B、每 token 激活 2B，上下文扩展至 131K tokens，是推理模型。模型面向笔记本和 PC 本地运行多步智能体任务，在智能体和工具使用任务上与总参数和激活参数均多约 50% 的 Qwen3.6-35B-A3B 表现相当，开放 base 和 post-trained 权重，已上架 Hugging Face。
正文
A small model drop from Liquid AI 👀
Liquid AI has released a new open-weight LFM2.5-24B-A2B model with 24B total parameters and 2B active parameters.
Based on benchmarks, LFM2.5-24B-A2B performs on par with the larger Qwen3.6-35B-A3B model.
The model is available on HF 🔥
Today we release 𝙻𝙵𝙼𝟸.𝟻-𝟸𝟺𝙱-𝙰𝟸𝙱, the largest 𝙻𝙵𝙼𝟸.𝟻 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/在 X 查看被引用的帖子
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