Upload iknn.cpp with huggingface_hub

iknn.cpp

@@ -4,7 +4,7 @@
 // Status: PUBLISHABLE — EN ONLY — Main Runtime OFFICIAL
 // Repo: deeprcurs/IKNN-Rl1-A1 — org deeprcurs, model IKNN-Rl1-A1
 // Format: .iknn native magic IKNN — NOT GGUF — GGUF artifact DELETED per audit
-// Model file: benchmarks/IKNN-Rl1-A1-150M.iknn 42MB 86 tensors magic IKNN arch IKNN-Rl1-A1
+// Model file: IKNN-Rl1-A1-150M.iknn 42MB 86 tensors magic IKNN arch IKNN-Rl1-A1
 
 #include <iostream>
 #include <vector>
@@ -228,11 +228,11 @@ int main(int argc, char* argv[]) {
     std::cout << "Repo: deeprcurs/IKNN-Rl1-A1 — Integrated Knowledge-phase Neural Network — Recursive Language Iteration 1 — Architecture 1" << std::endl;
     std::cout << "Format: .iknn native — magic IKNN — NOT GGUF — GGUF DELETED per audit — free naming iknn.cpp + .iknn OFFICIAL" << std::endl;
     std::cout << "Model: IKNN-Rl1-A1 is LLM — 19.5B parametric (17B SatU1 1-bit +1.7B NoeSA 4.58-bit +0.8B Ntarra 3.17-bit) +8B N-Gram — 4.12GB RAM" << std::endl;
-    std::cout << "File: benchmarks/IKNN-Rl1-A1-150M.iknn 42MB 86 tensors magic IKNN arch IKNN-Rl1-A1 — OFFICIAL" << std::endl;
+    std::cout << "File: IKNN-Rl1-A1-150M.iknn 42MB 86 tensors magic IKNN arch IKNN-Rl1-A1 — OFFICIAL" << std::endl;
     std::cout << "Prototype: 150M (10x smaller) 130.5M SatU1 +13.5M NoeSA +6M Ntarra active 34.5M 26MB memory" << std::endl;
 
     if (argc > 1 && std::string(argv[1]) == "--write-iknn") {
-        IknnFile iknn("/home/user/benchmarks/IKNN-Rl1-A1-150M.iknn");
+        IknnFile iknn("/home/user/IKNN-Rl1-A1-150M.iknn");
         iknn.add_tensor("token_embd", TensorType::SATU1, {32000, 768});
         for (int layer=0; layer<12; ++layer) {
             iknn.add_tensor("blk."+std::to_string(layer)+".attn_q", TensorType::SATU1, {768,768});
@@ -253,7 +253,7 @@ int main(int argc, char* argv[]) {
         return 0;
     }
 
-    IknnFile iknn_check("/home/user/benchmarks/IKNN-Rl1-A1-150M.iknn");
+    IknnFile iknn_check("/home/user/IKNN-Rl1-A1-150M.iknn");
     if (iknn_check.read_header()) {
         std::cout << "[iknn.cpp] Found native model " << iknn_check.filename << " magic IKNN OK arch " << iknn_check.header.arch << std::endl;
     } else {