Improve help text, expand warning

Author: KerfuffleV2

convert-llama-ggmlv3-to-gguf.py

@@ -227,19 +227,19 @@ def handle_args():
     parser.add_argument('--input', '-i', help = 'Input GGMLv3 filename')
     parser.add_argument('--output', '-o', help ='Output GGUF filename')
     parser.add_argument('--gqa', type = int, default = 1, help = 'grouped-query attention factor (use 8 for LLaMA2 70B)')
-    parser.add_argument('--eps', default = '5.0e-06', help = 'RMS norm eps (use 1e-5 for LLaMA2)')
-    parser.add_argument('--context-length', '-c', type=int, default = 2048, help = 'Default max context length')
+    parser.add_argument('--eps', default = '5.0e-06', help = 'RMS norm eps: Use 1e-6 for LLaMA1 and OpenLLaMA, use 1e-5 for LLaMA2')
+    parser.add_argument('--context-length', '-c', type=int, default = 2048, help = 'Default max context length: LLaMA1 is typically 2048, LLaMA2 is typically 4096')
     return parser.parse_args()
 
 def main():
     cfg = handle_args()
     print(f'* Using config: {cfg}')
-    print('\n=== WARNING === Be aware that this conversion script is best-effort. Use a native GGUF model if possible. === WARNING ===\n')
+    print('\n=== WARNING === Be aware that this conversion script is best-effort. Special tokens may not be converted correctly. Use a native GGUF model if possible. === WARNING ===\n')
     data = np.memmap(cfg.input, mode = 'r')
     model = GGMLV3Model()
     print('* Scanning GGML input file')
     offset = model.load(data, 0)
-    print(model.hyperparameters)
+    print(f'* GGML model hyperparameters: {model.hyperparameters}')
     converter = GGMLToGGUF(model, data, cfg)
     converter.save()
     print(f'* Successful completion. Output saved to: {cfg.output}')