Create config.json

config.json

@@ -0,0 +1,23 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,  # Number of units in each hidden layer; adjust if different
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,  # Intermediate layer size for transformers
+  "max_position_embeddings": 2048,  # Max sequence length, adjust if necessary
+  "model_type": "llama",
+  "num_attention_heads": 32,  # Number of attention heads in the model
+  "num_hidden_layers": 33,  # Number of layers in the model; adjust if different
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rotary_emb_base": 10000,
+  "rotary_emb_dim": 64,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.28.0",  # Match this with your Transformers version
+  "use_cache": true,
+  "vocab_size": 32000  # Vocabulary size; match with your tokenizer
+}