Ggml-org Merges hc Ops into qwen4exp Graph in llama.cpp
A recent pull request (28901) in the open‑source llama.cpp repository has added new high‑capacity (hc) operations to the qwen4exp graph, targeting both CPU and CUDA backends. The changes fuse a per‑element gate into the hcpre stage and combine an identity operation into hcpost, streamlining the graph’s execution path.
Key points
- Pull request #28901 merges hc pre/post ops into qwen4exp graph for CPU and CUDA.
- Key contributors: feal87, pwilkin, ggerganov.
- Change improves gate fusion and identity combination in llama.cpp.
The merge was approved by key contributors feal87, pwilkin, and ggerganov, and was assisted by the deepseek‑v4‑flash team. While the commit itself is a modest code tweak, it reflects the active community effort to optimize LLM inference pipelines.
These updates may reduce computational overhead and improve throughput for models that rely on the qwen4exp graph, making the open‑source stack more efficient for developers and researchers alike.
The story so far
4 episodes →- Ggml-org Merges hc Ops into qwen4exp Graph in llama.cppthis story
qwen4exp: add hc ops by am17an · Pull Request #28901 · ggml-org/llama.cpp
github.com · 16 September 2026Loading the full article…
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