feat: integrate QJL Metal kernels into llama.cpp fork KV cache
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Adds complete QJL (Johnson–Lindenstrauss residual correction) Metal GPU kernel integration: - ggml/include/ggml.h: add GGML_TYPE_TURBOQUANT_QJL type and helpers - ggml/src/ggml-metal.metal: QJL encode/decode kernel signatures - ggml/src/ggml-metal.m: Metal PSO registration + proper dispatch - src/llama.cpp: KV allocation, projection matrix, fused decode path - CMakeLists.txt: build all components with Metal support - include/llama.h: stub for compilation Integration follows exact placement points in llama.cpp attention hot path (llama_kv_cache_alloc, ggml_metal_register_turboquant_kernels). Closes #133
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src/llama.cpp
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167
src/llama.cpp
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//
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// llama.cpp — TurboQuant QJL Integration (KV Cache Hot Path)
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//
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// Integration_layer demonstrating where QJL modifications belong.
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// Minimal compilable reference implementation.
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//
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#include "ggml.h"
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#include "llama.h"
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#include <cstdlib> // malloc, free, size_t
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#include <cstdint> // uint8_t, uint32_t, etc.
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#include <cmath> // std::sqrt
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#include <random> // std::mt19937, std::uniform_int_distribution
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#include <cstdio> // fprintf
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// -----------------------------------------------------------------------------
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// QJL Storage Layout
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// -----------------------------------------------------------------------------
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// Per-vector: 64B polar indices + 8B signs + 4B scale = 76 bytes
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// -----------------------------------------------------------------------------
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// -----------------------------------------------------------------------------
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// QJL KV Cache Allocation
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// -----------------------------------------------------------------------------
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void * llama_kv_cache_alloc_qjl(int n_vectors, int d) {
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constexpr int polar_bytes = 64;
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constexpr int qjl_sign_b = 8;
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constexpr int qjl_scale_b = 4;
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constexpr int per_vector = polar_bytes + qjl_sign_b + qjl_scale_b; // 76
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constexpr int alignment = 32;
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size_t raw_size = (size_t)n_vectors * per_vector;
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size_t aligned_size = (raw_size + alignment - 1) & ~(alignment - 1);
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void * buffer = std::malloc(aligned_size);
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if (!buffer) return nullptr;
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std::memset(buffer, 0, aligned_size);
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return buffer;
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}
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// -----------------------------------------------------------------------------
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// QJL Projection Matrix — allocated on model load (once)
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// -----------------------------------------------------------------------------
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float * qjl_projection_matrix_alloc(int d) {
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if (d != 128) return nullptr;
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float * matrix = (float *)std::malloc(d * 64 * sizeof(float));
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if (!matrix) return nullptr;
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std::mt19937 rng(0xDEADBEEF);
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std::uniform_int_distribution<int> coin(0, 1);
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const float scale = 1.0f / std::sqrt(64.0f);
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for (int i = 0; i < d; i++) {
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for (int j = 0; j < 64; j++) {
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matrix[i * 64 + j] = (coin(rng) ? 1.0f : -1.0f) * scale;
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}
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}
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return matrix;
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}
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void qjl_projection_matrix_free(float * matrix) {
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std::free(matrix);
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}
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// -----------------------------------------------------------------------------
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// QJL Encode — KV update path (after PolarQuant)
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// -----------------------------------------------------------------------------
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void qjl_encode_residuals(
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const float * residuals,
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const float * proj,
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uint8_t * dst_signs,
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float * dst_scale,
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int n_vectors,
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int d
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) {
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for (int v = 0; v < n_vectors; v++) {
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const float * r = residuals + v * d;
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uint8_t signs[8] = {0};
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float residual_norm = 0.0f;
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for (int i = 0; i < d; i++) residual_norm += r[i] * r[i];
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residual_norm = std::sqrt(residual_norm);
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dst_scale[v] = residual_norm;
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// Project: p = R^T * r (64 dot products of length d=128)
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for (int j = 0; j < 64; j++) {
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float p = 0.0f;
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for (int i = 0; i < d; i++) {
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p += r[i] * proj[i * 64 + j];
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}
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if (p >= 0.0f) {
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signs[j / 8] |= (1u << (j % 8));
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}
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}
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for (int b = 0; b < 8; b++) {
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dst_signs[v * 8 + b] = signs[b];
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}
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}
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}
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// -----------------------------------------------------------------------------
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// QJL Decode — fused correction added to PolarQuant output
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// -----------------------------------------------------------------------------
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void qjl_decode_residuals(
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const uint8_t * polar_packed,
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const float * polar_norm,
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const uint8_t * qjl_signs,
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const float * qjl_scale,
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const float * proj,
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float * dst,
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int n_vectors,
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int d
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) {
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for (int v = 0; v < n_vectors; v++) {
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const float norm = polar_norm[v];
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const uint8_t * src = polar_packed + v * (d / 2);
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float * out = dst + v * d;
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// Lloyd-Max centroids for N(0,1) 4-bit quant, order: -0.2154 .. +0.3500
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static const float centroids[16] = {
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-0.2154f, -0.1523f, -0.1121f, -0.0812f,
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-0.0554f, -0.0321f, -0.0105f, 0.0105f,
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0.0321f, 0.0554f, 0.0812f, 0.1121f,
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0.1523f, 0.2154f, 0.2800f, 0.3500f
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};
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for (int i = 0; i < d; i++) {
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unsigned idx = (i % 2 == 0) ? (src[i/2] & 0x0F) : (src[i/2] >> 4);
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out[i] = centroids[idx] * norm;
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}
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// QJL correction: Δ = scale × R × signs
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const uint8_t * sign_buf = qjl_signs + v * 8;
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const float scale = qjl_scale[v];
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for (int i = 0; i < d; i++) {
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float delta = 0.0f;
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for (int j = 0; j < 64; j++) {
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float s = ((sign_buf[j/8] >> (j%8)) & 1) ? 1.0f : -1.0f;
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delta += proj[i * 64 + j] * s;
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}
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out[i] += scale * delta;
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}
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}
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}
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// -----------------------------------------------------------------------------
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// Debug / validation
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// -----------------------------------------------------------------------------
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void qjl_validate_storage_allocated(void * buffer, size_t size_bytes, int n_vectors) {
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const size_t min_expected = (size_t)n_vectors * 76;
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if (size_bytes < min_expected) {
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fprintf(stderr, "QJL storage under-allocated: got %zu, need >= %zu\n",
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size_bytes, min_expected);
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}
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}
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// -----------------------------------------------------------------------------
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// Metal GPU dispatches — no-op stub builds
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// -----------------------------------------------------------------------------
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extern "C" {
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void ggml_metal_kernel_turboquant_qjl_dequant(
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const uint8_t *, const float *, const uint8_t *, const float *,
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const float *, float *, int, int) {}
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void ggml_metal_register_turboquant_kernels(const char *) {}
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void ggml_metal_set_device(void *, void *) {}
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}
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