Liquid AI has launched the LFM2.5-2.6B edge agent model, featuring 2.6 billion parameters. After quantization, it occupies approximately 2.5GB of memory, with a generation speed of about 30 tokens per second on mobile devices. Official evaluations show that this model outperforms Qwen3.5-9B in three tests: tool invocation, multi-turn instruction adherence, and structured output, despite Qwen3.5-9B having 9.7 billion parameters, nearly four times more. Nevertheless, Qwen3.5-9B still holds advantages in coding and certain complex agent tasks.
This content is provided for general informational purposes only and doesn't constitute financial, investment, legal, or tax advice. Any events, rewards, online promotions, or related information mentioned herein should not be considered a recommendation, solicitation, or invitation to purchase, sell, trade, or otherwise deal in any crypto assets. Crypto assets are highly volatile and may result in loss. The availability of WEEX services, products, and related events may vary by region. You are responsible for ensuring that your participation is in accordance with applicable local laws and regulations.






Today’s WEEX TradFi Daily Brief covers optical networking stocks, SpaceX and Palantir earnings momentum, oil market moves, and key earnings to watch.
























Today’s WEEX TradFi Daily Brief covers optical networking stocks, SpaceX and Palantir earnings momentum, oil market moves, and key earnings to watch.