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Brunobkr/llama.cpp_AlgMor24_github

ΩFFFΣLLIa • llama.cpp • AlgMor24 ██████╗ ███████╗███████╗███████╗██╗ ██╗ ██╗ █████╗ ██╔═══██╗██╔════╝██╔════╝██╔════╝██║ ██║ ██║██╔══██╗ ██║ ██║█████╗ █████╗ █████╗ ██║ ██║ ██║███████║ ██║ ██║██╔══╝ ██╔══╝ ██╔══╝ ██║ ██║ ██║██╔══██║ ╚██████╔╝██║ ██║ ███████╗███████╗███████╗██║██║ ██║ ╚═════╝ ╚═╝ ╚═╝ ╚══════╝╚══════╝╚══════╝╚═╝╚═╝ ╚═╝ High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.

sourceHugging Faceupdated 2mo agoView on Hugging Face
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exaone4_5.cpp171 linesDownload Raw Back to models
1// similar to qwen2vl, except for GQA attention2#include "models.h"3 4ggml_cgraph * clip_graph_exaone4_5::build() {5    GGML_ASSERT(model.patch_bias == nullptr);6    GGML_ASSERT(model.class_embedding == nullptr);7 8    const int batch_size = 1;9    const bool use_window_attn = hparams.n_wa_pattern > 0;10    const int n_wa_pattern     = hparams.n_wa_pattern;11    const int n_pos            = n_patches;12    const int num_position_ids = n_pos * 4;13 14    const norm_type norm_t = NORM_TYPE_RMS;15 16    const int64_t n_kv_head = hparams.n_head_kv > 0 ? hparams.n_head_kv : n_head;17    GGML_ASSERT(n_head % n_kv_head == 0);18 19    int rope_sections[4] = { d_head / 4, d_head / 4, d_head / 4, d_head / 4 };20    const float rope_freq_base = hparams.rope_theta > 0.0f ? hparams.rope_theta : 10000.0f;21 22    ggml_tensor * inp_raw = build_inp_raw();23    ggml_tensor * inp = ggml_conv_2d(ctx0, model.patch_embeddings_0, inp_raw, patch_size, patch_size, 0, 0, 1, 1);24 25    GGML_ASSERT(img.nx() % (patch_size * 2) == 0);26    GGML_ASSERT(img.ny() % (patch_size * 2) == 0);27 28    {29        ggml_tensor * inp_1 = ggml_conv_2d(ctx0, model.patch_embeddings_1, inp_raw, patch_size, patch_size, 0, 0, 1, 1);30        inp = ggml_add(ctx0, inp, inp_1);31        inp = ggml_permute(ctx0, inp, 1, 2, 0, 3);32        inp = ggml_cont_4d(33            ctx0, inp,34            n_embd * 2, n_patches_x / 2, n_patches_y, batch_size);35        inp = ggml_reshape_4d(36            ctx0, inp,37            n_embd * 2, n_patches_x / 2, 2, batch_size * (n_patches_y / 2));38        inp = ggml_permute(ctx0, inp, 0, 2, 1, 3);39        inp = ggml_cont_3d(40            ctx0, inp,41            n_embd, n_patches_x * n_patches_y, batch_size);42    }43 44    ggml_tensor * positions = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, num_position_ids);45    ggml_set_name(positions, "positions");46    ggml_set_input(positions);47 48    ggml_tensor * window_mask    = nullptr;49    ggml_tensor * window_idx     = nullptr;50    ggml_tensor * inv_window_idx = nullptr;51 52    if (use_window_attn) {53        window_idx = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_pos / 4);54        ggml_set_name(window_idx, "window_idx");55        ggml_set_input(window_idx);56 57        inv_window_idx = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_pos / 4);58        ggml_set_name(inv_window_idx, "inv_window_idx");59        ggml_set_input(inv_window_idx);60 61        window_mask = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_pos, n_pos);62        ggml_set_name(window_mask, "window_mask");63        ggml_set_input(window_mask);64 65        if (flash_attn_type == CLIP_FLASH_ATTN_TYPE_ENABLED) {66            window_mask = ggml_cast(ctx0, window_mask, GGML_TYPE_F16);67        }68    }69 70    ggml_tensor * inpL = inp;71 72    if (use_window_attn) {73        GGML_ASSERT(batch_size == 1);74        inpL = ggml_reshape_2d(ctx0, inpL, n_embd * 4, n_patches_x * n_patches_y * batch_size / 4);75        inpL = ggml_get_rows(ctx0, inpL, inv_window_idx);76        inpL = ggml_reshape_3d(ctx0, inpL, n_embd, n_patches_x * n_patches_y, batch_size);77    }78 79    for (int il = 0; il < n_layer; il++) {80        const auto & layer = model.layers[il];81        const bool full_attn = use_window_attn ? (il + 1) % n_wa_pattern == 0 : true;82        ggml_tensor * cur = inpL;83 84        cur = build_norm(cur, layer.ln_1_w, layer.ln_1_b, norm_t, eps, il);85        cb(cur, "ln1", il);86 87        {88            GGML_ASSERT(layer.qkv_w != nullptr);89            cur = build_mm(layer.qkv_w, cur);90            if (layer.qkv_b) {91                cur = ggml_add(ctx0, cur, layer.qkv_b);92            }93 94            const int64_t n_embd_kv = d_head * n_kv_head;95            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, d_head, n_head, n_patches,96                ggml_row_size(cur->type, d_head),97                cur->nb[1],98                0);99            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, d_head, n_kv_head, n_patches,100                ggml_row_size(cur->type, d_head),101                cur->nb[1],102                ggml_row_size(cur->type, n_embd));103            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, d_head, n_kv_head, n_patches,104                ggml_row_size(cur->type, d_head),105                cur->nb[1],106                ggml_row_size(cur->type, n_embd + n_embd_kv));107 108            cb(Qcur, "Qcur", il);109            cb(Kcur, "Kcur", il);110            cb(Vcur, "Vcur", il);111 112            Qcur = ggml_rope_multi(113                ctx0, Qcur, positions, nullptr,114                d_head / 2, rope_sections, GGML_ROPE_TYPE_VISION, 32768, rope_freq_base, 1, 0, 1, 32, 1);115            Kcur = ggml_rope_multi(116                ctx0, Kcur, positions, nullptr,117                d_head / 2, rope_sections, GGML_ROPE_TYPE_VISION, 32768, rope_freq_base, 1, 0, 1, 32, 1);118 119            cb(Qcur, "Qcur_rope", il);120            cb(Kcur, "Kcur_rope", il);121            cb(Vcur, "Vcur", il);122 123            ggml_tensor * attn_mask = full_attn ? nullptr : window_mask;124            cur = build_attn(layer.o_w, layer.o_b, Qcur, Kcur, Vcur, attn_mask, kq_scale, il);125            cb(cur, "attn_out", il);126        }127 128        cur = ggml_add(ctx0, cur, inpL);129        inpL = cur;130 131        cb(cur, "ffn_inp", il);132 133        cur = build_norm(cur, layer.ln_2_w, layer.ln_2_b, norm_t, eps, il);134        cb(cur, "ffn_inp_normed", il);135 136        cur = build_ffn(cur,137            layer.ff_up_w, layer.ff_up_b,138            layer.ff_gate_w, layer.ff_gate_b,139            layer.ff_down_w, layer.ff_down_b,140            hparams.ffn_op, il);141 142        cb(cur, "ffn_out", il);143 144        cur = ggml_add(ctx0, inpL, cur);145        cb(cur, "layer_out", il);146 147        inpL = cur;148    }149 150    ggml_tensor * embeddings = inpL;151    embeddings = build_norm(embeddings, model.post_ln_w, model.post_ln_b, norm_t, eps, n_layer);152    embeddings = ggml_reshape_3d(ctx0, embeddings, n_embd * 4, n_pos / 4, batch_size);153    embeddings = build_ffn(embeddings,154        model.mm_0_w, model.mm_0_b,155        nullptr, nullptr,156        model.mm_1_w, model.mm_1_b,157        FFN_GELU,158        -1);159 160    if (use_window_attn) {161        GGML_ASSERT(batch_size == 1);162        embeddings = ggml_reshape_2d(ctx0, embeddings, hparams.projection_dim, n_patches_x * n_patches_y / 4);163        embeddings = ggml_get_rows(ctx0, embeddings, window_idx);164        embeddings = ggml_reshape_3d(ctx0, embeddings, hparams.projection_dim, n_patches_x * n_patches_y / 4, batch_size);165    }166 167    ggml_build_forward_expand(gf, embeddings);168 169    return gf;170}171 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai