Update config.json

This PR adds the transformers support for AWQ models. If you have AWQ kernels installed through `autoawq` package or `llm-awq` you can load this model directly through `AutoModelForCausalLM.from_pretrained` out of the box.
You can read more about the integration here: https://huggingface.co/docs/transformers/main_classes/quantization#awq-integration or this google colab demo: https://colab.research.google.com/drive/1HzZH89yAXJaZgwJDhQj9LqSBux932BvY (we'll announce it early next week)

config.json

@@ -24,5 +24,12 @@
   "torch_dtype": "float16",
   "transformers_version": "4.35.0",
   "use_cache": true,
-  "vocab_size": 32000
+  "vocab_size": 32000,
+  "quantization_config": {
+    "quant_method": "awq",
+    "zero_point": true,
+    "group_size": 128,
+    "bits": 4,
+    "version": "gemm"
+  }
 }