Felipe97/llama-cpp-compiled

1#include "models.h"2 3void llama_model_mamba2::load_arch_hparams(llama_model_loader & ml) {4    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);5    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);6    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);7    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);8    ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);9 10    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);11 12    switch (hparams.n_layer()) {13        case 24:14            switch (hparams.n_embd) {15                case 768: type = LLM_TYPE_SMALL; break;16                default: type = LLM_TYPE_UNKNOWN;17            } break;18        case 48:19            switch (hparams.n_embd) {20                case 1024: type = LLM_TYPE_MEDIUM; break;21                case 1536: type = LLM_TYPE_LARGE; break;22                case 2048: type = LLM_TYPE_XL; break;23                default: type = LLM_TYPE_UNKNOWN;24            } break;25        case 64:26            switch (hparams.n_embd) {27                case 2560: type = LLM_TYPE_3B; break;28                case 4096: type = LLM_TYPE_7B; break;29                default: type = LLM_TYPE_UNKNOWN;30            } break;31        default: type = LLM_TYPE_UNKNOWN;32    }33}34 35void llama_model_mamba2::load_arch_tensors(llama_model_loader &) {36    LLAMA_LOAD_LOCALS;37 38    const int64_t d_conv  = hparams.ssm_d_conv;39    const int64_t d_inner = hparams.ssm_d_inner;40    const int64_t d_state = hparams.ssm_d_state;41    const int64_t n_group = hparams.ssm_n_group;42    const int64_t dt_rank  = hparams.ssm_dt_rank;43 44    const int64_t conv_dim = d_inner + 2 * n_group * d_state;45    const int64_t d_in_proj = d_inner + conv_dim + dt_rank;46 47 48    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);49 50    // output51    {52        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);53 54        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);55        // if output is NULL, init from the input tok embed, duplicated to allow offloading56        if (output == NULL) {57            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);58        }59    }60 61    for (int i = 0; i < n_layer; ++i) {62        auto & layer = layers[i];63 64        // norm65        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);66 67        layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0);68 69        layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0);70        layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, 0);71 72        layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {dt_rank}, 0);73 74        // no "weight" suffix for these75        layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, dt_rank}, 0);76        layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, dt_rank}, 0);77 78        layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0);79 80        // out_proj81        layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);82    }83}84 85std::unique_ptr<llm_graph_context> llama_model_mamba2::build_arch_graph(const llm_graph_params & params) const {86    return std::make_unique<graph>(*this, params);87}88 89