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llama : remove unused variable
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@ -7718,7 +7718,6 @@ static bool llm_load_tensors(
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const int64_t d_inner = hparams.ssm_d_inner;
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const int64_t d_inner = hparams.ssm_d_inner;
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const int64_t d_state = hparams.ssm_d_state;
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const int64_t d_state = hparams.ssm_d_state;
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const int64_t n_head = hparams.ssm_dt_rank;
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const int64_t n_head = hparams.ssm_dt_rank;
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const int64_t head_dim = n_embd / n_head;
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const int64_t n_group = hparams.ssm_n_group;
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const int64_t n_group = hparams.ssm_n_group;
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const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_head;
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const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_head;
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@ -9287,7 +9286,7 @@ static struct ggml_tensor * llm_build_mamba2(
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const int64_t d_inner = hparams.ssm_d_inner;
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const int64_t d_inner = hparams.ssm_d_inner;
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const int64_t d_state = hparams.ssm_d_state;
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const int64_t d_state = hparams.ssm_d_state;
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const int64_t n_head = hparams.ssm_dt_rank;
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const int64_t n_head = hparams.ssm_dt_rank;
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const int64_t head_dim = d_inner / n_head; // FIXME
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const int64_t head_dim = d_inner / n_head;
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const int64_t n_group = hparams.ssm_n_group;
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const int64_t n_group = hparams.ssm_n_group;
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const int64_t n_seqs = batch.n_seqs;
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const int64_t n_seqs = batch.n_seqs;
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