Users seek sub-80GB pruned version of Kimi K3 model

**Summary**

Users on Reddit are asking whether pruned (compressed) versions of Kimi K3—a large open-source mixture-of-experts (MoE) model—exist that can run under 80GB in size while maintaining Q4 quantization quality. The question appears multiple times across Reddit threads with minimal engagement (1 point, 0-2 comments each), suggesting either niche interest or limited awareness of available solutions.

**Dominant Framing**

The discussion frames this as a practical constraint problem: users want access to a capable open-source model but face hardware limitations. The repeated posting of the same question suggests either frustration with finding an answer or uncertainty about whether such a pruned version is publicly available. No mainstream media coverage exists on this topic.

**Notable Gaps**

The extremely low engagement and comment counts indicate this question has not generated substantive community discussion or consensus answers. There is no visible disagreement—simply an absence of response. Whether pruned versions of Kimi K3 meeting these specifications actually exist, or what alternatives users might consider, remains unclear from the available data.