update config.json vocab_size to tokenizer length

.i.e., 32000 as for high throughput in vllm there can be sampling of padded tokens which will result in error in vllm , it is an open issue here . https://github.com/vllm-project/vllm/issues/340

config.json

@@ -30,5 +30,5 @@
   "torch_dtype": "float16",
   "transformers_version": "4.38.2",
   "use_cache": false,
-  "vocab_size": 32032
+  "vocab_size": 32000
 }