Which llama.cpp fork/pr lets you quantize GLM-5.3-Flash?
I've tried the master branch of llama.cpp, master branch of ik_llama.cpp and this unslop fork:
https://github.com/unslothai/llama.cpp
INFO:hf-to-gguf:Loading model: GLM-5.3-Flash
INFO:hf-to-gguf:Model architecture: Glm5NextForConditionalGeneration
ERROR:hf-to-gguf:Model Glm5NextForConditionalGeneration is not supported
Unslop has got GLM-5-Next references in the commit log:
Author: Daniel Han <danielhanchen@gmail.com>
Date: Wed Sep 16 06:49:59 2026 -0700
Repin GLM-5-Next onto the head carrying the indexer softmax fix (#217)
unslothai#214 landed on glm5next/upstream after #216 was cut, so e2738e07 is no
longer the head. 86ebfef2 is that squash on top of it: the k-pool gate logits are
reshaped to 2D before ggml_soft_max so n_new_max stops mapping to gridDim.y,
which CUDA caps at 65535 and which aborted the launch at n_kv >= 262144 with
kpool = 4.
Replayed the resolve loop on b10994 with the new pin: 11 clean, 2 additive, 0
hard fails; merge_checks clean, all 13 pins intact, llama + mtmd compile gate
passed, test-llama-archs 316 rows 0 failures.
Wow that claude language is hard to read...