Update config.json

config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "Mahmoud22/my_autotrain_llm",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -9,37 +8,27 @@
   "hidden_size": 4096,
   "initializer_range": 0.02,
   "intermediate_size": 11008,
-  "max_position_embeddings": 2048,
+  "max_length": 4096,
+  "max_position_embeddings": 4096,
   "model_type": "llama",
   "num_attention_heads": 32,
   "num_hidden_layers": 32,
-  "num_key_value_heads": 32,
   "pad_token_id": 0,
-  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.30.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000,
   "quantization_config": {
-    "batch_size": 1,
     "bits": 4,
-    "block_name_to_quantize": "model.layers",
-    "damp_percent": 0.1,
-    "dataset": "wikitext2",
-    "desc_act": false,
-    "disable_exllama": true,
     "group_size": 128,
-    "model_seqlen": 4096,
-    "module_name_preceding_first_block": [
-      "model.embed_tokens"
-    ],
-    "pad_token_id": null,
-    "quant_method": "gptq",
+    "damp_percent": 0.01,
+    "desc_act": false,
     "sym": true,
     "true_sequential": true,
-    "use_cuda_fp16": true
-  },
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "tie_word_embeddings": false,
-  "torch_dtype": "float16",
-  "transformers_version": "4.32.1",
-  "use_cache": true,
-  "vocab_size": 32000
+    "model_name_or_path": null,
+    "model_file_base_name": "model",
+    "quant_method": "gptq"
+  }
 }