Update config.json

config.json

@@ -1,6 +1,5 @@
-{
-    Model config LlamaConfig {
-  "_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
+Model config LlamaConfig {
+  "_name_or_path": "unsloth/tinyllama-chat-bnb-4bit",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -12,34 +11,23 @@
   "hidden_size": 2048,
   "initializer_range": 0.02,
   "intermediate_size": 5632,
-  "max_position_embeddings": 2048,
-  "model_type": "llama",
+  "max_position_embeddings": 4096,
+  "model_type": "llama",  
   "num_attention_heads": 32,
   "num_hidden_layers": 22,
   "num_key_value_heads": 4,
   "pad_token_id": 0,
   "pretraining_tp": 1,
-  "quantization_config": {
-    "_load_in_4bit": true,
-    "_load_in_8bit": false,
-    "bnb_4bit_compute_dtype": "bfloat16",
-    "bnb_4bit_quant_type": "nf4",
-    "bnb_4bit_use_double_quant": true,
-    "llm_int8_enable_fp32_cpu_offload": false,
-    "llm_int8_has_fp16_weight": false,
-    "llm_int8_skip_modules": null,
-    "llm_int8_threshold": 6.0,
-    "load_in_4bit": true,
-    "load_in_8bit": false,
-    "quant_method": "bitsandbytes"
-  },
   "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
+  "rope_scaling": {
+    "factor": 2.0,
+    "type": "linear"
+  },
   "rope_theta": 10000.0,
   "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
+  "torch_dtype": "float16",
   "transformers_version": "4.40.2",
+  "unsloth_version": "2024.5",
   "use_cache": true,
   "vocab_size": 32000
-}
 }