The importance matrix was generated with calibration_datav3.txt.
All quants were generated/calibrated with the imatrix, including the K quants.
News
🔥 We’re thrilled to announce the release of
KAT-Dev-72B-Exp
, our latest and most powerful model yet!
🔥 You can now try our
strongest
proprietary coder model
KAT-Coder
directly on the
StreamLake
platform
for free
.
Highlights
KAT-Dev-72B-Exp
is an open-source 72B-parameter model for software engineering tasks.
On SWE-Bench Verified,
KAT-Dev-72B-Exp
achieves
74.6%
accuracy ⚡ —
when evaluated strictly with the SWE-agent scaffold
.
KAT-Dev-72B-Exp
is the experimental reinforcement-learning version of the KAT-Coder model. Through this open-source release, we aim to reveal the technical innovations behind KAT-Coder’s large-scale RL to developers and researchers.
Introduction
We rewrote the attention kernel and redesigned the training engine for shared prefix trajectories to achieve highly efficient RL training, especially for scaffolds leveraging context management.
Furthermore, to prevent exploration collapse observed in RL training, we reshaped advantage distribution based on pass rates: amplifying the advantage scale of highly exploratory groups while reducing that of low-exploration ones.
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