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model : add support for SmallThinker series (#14898)

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* support smallthinker

* support 20b softmax, 4b no sliding window

* new build_moe_ffn_from_probs, and can run 4b

* fix 4b rope bug

* fix python type check

* remove is_moe judge

* remove set_dense_start_swa_pattern function and modify set_swa_pattern function

* trim trailing whitespace

* remove get_vocab_base of SmallThinkerModel in convert_hf_to_gguf.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* better whitespace

Apply suggestions from code review

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* use GGML_ASSERT for expert count validation

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Improve null pointer check for probs

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* use template parameter for SWA attention logic

* better whitespace

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* move the creation of inp_out_ids before the layer loop

* remove redundant judge for probs

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Dongliang Wei
2025-07-28 19:47:00 +08:00
committed by GitHub
parent afc0e89698
commit 6c6e397aff
10 changed files with 443 additions and 6 deletions
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12
src/llama-hparams.cpp
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@@ -2,9 +2,15 @@
#include "ggml.h"
void llama_hparams::set_swa_pattern(uint32_t n_pattern) {
for (uint32_t il = 0; il < n_layer; ++il) {
swa_layers[il] = n_pattern == 0 || (il % n_pattern < (n_pattern - 1));
void llama_hparams::set_swa_pattern(uint32_t n_pattern, bool dense_first) {
if (dense_first) {
for (uint32_t il = 0; il < n_layer; ++il) {
swa_layers[il] = n_pattern == 0 || (il % n_pattern != 0);
}
} else {
for (uint32_t il = 0; il < n_layer; ++il) {
swa_layers[il] = n_pattern == 0 || (il % n_pattern < (n_pattern - 1));
}
}
}