Introducing Hy4 Preview
Introducing Hy4 Preview New open weight text input (no vision) LLM from Chinese company Tencent today: 770B total parameters, 49B active parameters, 1M token context window, 1.56TB on Hugging Face . This is a big size increase from their previous Hy3 in July, which was 295B, 21B active, 256,000 context, 598GB. I recently started using model chat templates to better understand their capabilities. Here's Hy4's chat_template.jinja on Hugging Face, which includes this section: {% - if not reasoning_effort is defined %} {% - set reasoning_effort = 'high' %} {% - elif reasoning_effort not in [ 'high' , 'no_think' ] %} {% - if reasoning_effort is none %} {{- raise_exception('reasoning_effort error : None, should be no_think/high') }} {% - else %} {{- raise_exception('reasoning_effort error : ' + reasoning_effort + ', should be no_think/high') }} {% - endif %} {% - endif %} So it looks like there are just two reasoning effort levels: "high" (the default) and "no_think" (reason by disabled). I