Update config.json

config.json

@@ -1,25 +1,25 @@
 {
-  "model_type": "llama",
-  "hidden_size": 4096,  // Adjust based on LLaMA size (8B uses 4096)
-  "intermediate_size": 11008,  // Typically 2.67x the hidden size
-  "num_attention_heads": 32,  // Adjust based on model
-  "num_hidden_layers": 32,  // Number of transformer layers
-  "vocab_size": 32000,  // Common LLaMA vocab size
-  "max_position_embeddings": 2048,  // Max sequence length you used
-  "rope_scaling": {
-    "type": "dynamic",
-    "factor": 2.0
-  },
-  "rotary_embedding_base": 10000,  // Used for RoPE embeddings
-  "tie_word_embeddings": false,  // Generally false for LLaMA
-  "torch_dtype": "float16",  // Use float16 for efficient inference
-  "use_cache": true,  // Enable cache for inference
-  "pad_token_id": 0,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "quantization_config": {
-    "load_in_4bit": true,
-    "bnb_4bit_use_double_quant": true,
-    "bnb_4bit_quant_type": "nf4"
-  }
-}
+    "model_type": "llama",
+    "hidden_size": 4096,
+    "intermediate_size": 11008,
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "vocab_size": 32000,
+    "max_position_embeddings": 2048,
+    "rope_scaling": {
+        "type": "dynamic",
+        "factor": 2
+    },
+    "rotary_embedding_base": 10000,
+    "tie_word_embeddings": false,
+    "torch_dtype": "float16",
+    "use_cache": true,
+    "pad_token_id": 0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "quantization_config": {
+        "load_in_4bit": true,
+        "bnb_4bit_use_double_quant": true,
+        "bnb_4bit_quant_type": "nf4"
+    }
+}