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model-saver : fix expert shared/chunk FFN length key clobber (#26693)
The saver called add_kv with LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH twice, the second time passing n_ff_chexp. gguf_set_val_u32 removes-then-appends, so the second call clobbers the first: the saved shared_feed_forward_length ends up as n_ff_chexp (0 for every arch except GroveMoE), and expert_chunk_feed_forward_length is never written at all. So a save->load roundtrip of any MoE model with a shared expert loses n_ff_shexp. On reload the arch falls back to n_ff for the shexp tensor shape, that no longer matches the saved tensor, and the model FAILS to load. Hits qwen2moe, qwen3-next, granite-moe, hunyuan-moe, ernie4.5, bailingmoe2, nemotron-h, and the other shared-expert MoEs. Fix: the second call writes LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH. test-llama-archs: set expert_shared_feed_forward_length to a value distinct from n_ff in the MoE setup so the roundtrip exercises it. Without the fix the reload fails on a shexp tensor-shape mismatch; with it, every arch roundtrips clean.
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2 changed files with 2 additions and 1 deletions
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@ -213,7 +213,7 @@ void llama_model_saver::add_kv_from_model() {
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add_kv(LLM_KV_FEED_FORWARD_LENGTH, hparams.n_ff_arr, true);
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add_kv(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
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add_kv(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp);
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add_kv(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_chexp);
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add_kv(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH, hparams.n_ff_chexp);
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add_kv(LLM_KV_SWIGLU_CLAMP_EXP, hparams.swiglu_clamp_exp);
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add_kv(LLM_KV_SWIGLU_CLAMP_SHEXP, hparams.swiglu_clamp_shexp);
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add_kv(LLM_KV_USE_PARALLEL_RESIDUAL, hparams.use_par_res);
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@ -217,6 +217,7 @@ static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
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if (moe) {
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ms.add_kv(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, n_ff);
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ms.add_kv(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, n_ff / 2); // distinct from n_ff so a saver key-clobber surfaces on reload
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ms.add_kv(LLM_KV_INTERLEAVE_MOE_LAYER_STEP, uint32_t(2));
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ms.add_kv(LLM_KV_EXPERT_COUNT, uint32_t(2));
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ms.add_kv(LLM_KV_EXPERT_USED_COUNT, uint32_t(1));
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