腾讯发布 Hy4 Preview:770B 参数开源权重文本模型,上下文窗口达 1M token
Introducing Hy4 Preview
腾讯今日发布 Hy4 Preview,这是一款新的开源权重纯文本输入(无视觉)大语言模型,总参数 770B,激活参数 49B,上下文窗口 1M token,Hugging Face 上体积 1.56TB。相比 7 月的 Hy3(295B 总参数、21B 激活、256k 上下文、598GB),规模大幅提升。Hy4 的推理配置仅支持 "high"(默认)和 "no_think" 两档。
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29th August 2026 - Link Blog
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 tried my "Generate an SVG of a pelican riding a bicycle" prompt with the default high reasoning via OpenRouter and got this:

Quoting the reasoning trace:
[...] Let's maybe add a helmet? It could improve riding theme, but may obscure head. Maybe a small cycling cap or helmet? The user didn't ask; can add red helmet? Might be cute. But pelican with big beak; a helmet might obscure. Better maybe no.
Maybe add sunglasses? no.
Maybe add water? no.
It's interesting how the reasoning trace uses slightly truncated English, presumably because perfect grammar isn't useful or token efficient for hidden reasoning text.
29th August 2026
来源:Simon Willison 博客 · simonwillison.net