sleepy/llama.cpp
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model : support Step3.5-Flash (#19283)

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* Support Step3.5-Flash

* fix: norm.weight + 1 (HF zero_centered=true)

* step35: simplify GGUF conversion + drop redundant rope KVs

* Address review feedback

* rename limits -> clamp

* Apply suggestions from code review

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

* Apply suggestion from @CISC

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

* rename swiglu limits -> swiglu clamp in LLM_KV

* avoid CI fail

* Apply suggestions from code review

* Apply suggestions from code review

* disabled KV shifting for LLM_ARCH_STEP35

* Apply suggestions from code review

* mistakenly removed cmath

* add model size && apply missed suggestion

* assert partial_rotary_factors

* fix CI errors:

* load freq_base_swa

---------

Co-authored-by: lvyichen <lvyichen@stepfun.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
This commit is contained in:
forforever73
2026-02-07 04:06:14 +08:00
committed by GitHub
parent 3228e77287
commit b83111815e
15 changed files with 576 additions and 38 deletions
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src/llama-hparams.h
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@@ -206,6 +206,11 @@ struct llama_hparams {
enum llama_rope_type rope_type = LLAMA_ROPE_TYPE_NONE;
enum llama_rope_scaling_type rope_scaling_type_train = LLAMA_ROPE_SCALING_TYPE_NONE;
// Step35: optional per-layer clamps for (Swi)GLU
std::array<float, LLAMA_MAX_LAYERS> swiglu_clamp_exp; // clamping for expert FFN
std::array<float, LLAMA_MAX_LAYERS> swiglu_clamp_shexp; // shared expert
// this value n_pattern means that every nth layer is dense (i.e. non-SWA)
// dense_first means whether the pattern is start with a dense layer
// note that if n_pattern == 0, all layers are SWA