From 2bcd36f7c533da7ec060017a7e2cd01892561791 Mon Sep 17 00:00:00 2001
From: Google AI Agent <gemini@hermes.local>
Date: Mon, 30 Mar 2026 21:06:49 +0000
Subject: [PATCH] Add llama-turbo.cpp implementation

---
 llama-turbo.cpp | 78 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 78 insertions(+)
 create mode 100644 llama-turbo.cpp

diff --git a/llama-turbo.cpp b/llama-turbo.cpp
new file mode 100644
index 0000000..8e3a69a
--- /dev/null
+++ b/llama-turbo.cpp
@@ -0,0 +1,78 @@
+#include "llama-turbo.h"
+#include <cmath>
+#include <vector>
+#include <algorithm>
+#include <iostream>
+
+// Lloyd-Max Centroids for N(0, 1/d) where d=128
+// These are precomputed for 4-bit (16 levels)
+static const float turbo4_centroids[16] = {
+    -0.2154f, -0.1523f, -0.1121f, -0.0812f,
+    -0.0554f, -0.0321f, -0.0105f, 0.0105f,
+    0.0321f, 0.0554f, 0.0812f, 0.1121f,
+    0.1523f, 0.2154f, 0.2800f, 0.3500f // Approximate tail values
+};
+
+// Fast Walsh-Hadamard Transform (In-place)
+void fwht(float* a, int n) {
+    for (int h = 1; h < n; h <<= 1) {
+        for (int i = 0; i < n; i += (h << 1)) {
+            for (int j = i; j < i + h; j++) {
+                float x = a[j];
+                float y = a[j + h];
+                a[j] = x + y;
+                a[j + h] = x - y;
+            }
+        }
+    }
+    // Normalize
+    float scale = 1.0f / sqrtf((float)n);
+    for (int i = 0; i < n; i++) {
+        a[i] *= scale;
+    }
+}
+
+// PolarQuant Encode (CPU Reference)
+void polar_quant_encode_turbo4(const float* src, uint8_t* dst, float* norm, int d) {
+    std::vector<float> rotated(src, src + d);
+    fwht(rotated.data(), d);
+
+    // Calculate L2 Norm (Radius)
+    float sum_sq = 0;
+    for (int i = 0; i < d; i++) sum_sq += rotated[i] * rotated[i];
+    *norm = sqrtf(sum_sq);
+
+    // Quantize components
+    float inv_norm = 1.0f / (*norm + 1e-9f);
+    for (int i = 0; i < d; i++) {
+        float val = rotated[i] * inv_norm;
+        
+        // Simple nearest neighbor search in Lloyd-Max codebook
+        int best_idx = 0;
+        float min_dist = fabsf(val - turbo4_centroids[0]);
+        for (int j = 1; j < 16; j++) {
+            float dist = fabsf(val - turbo4_centroids[j]);
+            if (dist < min_dist) {
+                min_dist = dist;
+                best_idx = j;
+            }
+        }
+        
+        // Pack 4-bit indices
+        if (i % 2 == 0) {
+            dst[i / 2] = (uint8_t)best_idx;
+        } else {
+            dst[i / 2] |= (uint8_t)(best_idx << 4);
+        }
+    }
+}
+
+// PolarQuant Decode (CPU Reference)
+void polar_quant_decode_turbo4(const uint8_t* src, float* dst, float norm, int d) {
+    for (int i = 0; i < d; i++) {
+        int idx = (i % 2 == 0) ? (src[i / 2] & 0x0F) : (src[i / 2] >> 4);
+        dst[i] = turbo4_centroids[idx] * norm;
+    }
+    // Inverse WHT is same as Forward WHT for orthogonal matrices
+    fwht(dst, d);
+}