Qwen4exp
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llama.cpp expert-pool fork for Qwen 3.8 Flash next IQ4 + 16Gb VRAM tested on MI50 gfx906 with parameters
An unofficial fork of llama.cpp introduces a persistent expert pool for mixture‑of‑experts (MoE) models that are offloaded with the --n-cpu-moe flag. Upstream llama.cpp lacks an expert cache, and earlier forks admitted…
1 source primary sourcegithub.com -
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…
1 source primary sourcegithub.com
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llama.cpp expert-pool fork for Qwen 3.8 Flash next IQ4 + 16Gb VRAM tested on MI50 gfx906 with parameters (18 September 2026).