Base: AtomicBot-ai/atomic-llama-cpp-turboquant @ cd5609390. IQK source: ikawrakow/ik_llama.cpp @ fe215a8c (ggml/src/iqk only). - GGML_IQK_MUL_MAT / GGML_IQK_FLASH_ATTENTION options (default OFF) - 57 IQK repacked types, blocks, traits; IQK hooks in ggml_compute_forward_mul_mat - ggml-cpu with IQK ON builds and links; IQK OFF build unaffected Assisted-by: opencode (Muse Spark) |
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|---|---|---|
| .. | ||
| README.md | ||
| qwen36-ud-base.txt | ||
| qwen36-ud-v1-nextn.txt | ||
| qwen36-ud-v2-turbo3.txt | ||
| qwen36-ud-v3-combined.txt | ||
README.md
Quantize tensor-type masks
Text files consumed by llama-quantize --tensor-type-file. Each non-empty line is regex=ggml_type (tensor name regex is lower-cased by quantize; type names are case-insensitive).
Qwen 3.6 UDT
| File | Purpose |
|---|---|
qwen36-ud-base.txt |
Baseline dynamic recipe + MoE router input |
qwen36-ud-v1-nextn.txt |
Preserve NextN / MTP head weights |
qwen36-ud-v2-turbo3.txt |
Lift Q/K for TurboQuant3 KV stacks |
qwen36-ud-v3-combined.txt |
Default release (v1 ∪ v2) |