Update config.json

config.json

@@ -1,34 +1,108 @@
-{
-  "_name_or_path": "llmware/slim-sql-qwen-base",
-  "aib_version": "model_archive_083024-qwen2-15-base-sql-25k-eot-train-sql2-1",
-  "architectures": [
-    "Qwen2ForCausalLM"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 151643,
-  "eos_token_id": 151643,
-  "hidden_act": "silu",
-  "hidden_size": 1536,
-  "initializer_range": 0.02,
-  "intermediate_size": 8960,
-  "max_position_embeddings": 131072,
-  "max_window_layers": 28,
-  "model_type": "qwen2",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 28,
-  "num_key_value_heads": 2,
-  "rms_norm_eps": 1e-06,
-  "rope_theta": 1000000.0,
-  "sliding_window": null,
-  "tie_word_embeddings": true,
-  "trained": "custom training",
-  "training_comments": "qwen-base-15-sql-25k-eot-1",
-  "training_dataset": [
-    "train_sql_big2.jsonl"
-  ],
-  "training_timestamp": "Fri Aug 30 19:21:20 2024",
-  "transformers_version": "4.43.4",
-  "use_cache": true,
-  "use_sliding_window": false,
-  "vocab_size": 151936
-}
+{
+  "_name_or_path": "llmware/slim-sql-qwen-base",
+  "aib_version": "model_archive_083024-qwen2-15-base-sql-25k-eot-train-sql2-1",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "trained": "custom training",
+  "training_comments": "qwen-base-15-sql-25k-eot-1",
+  "training_dataset": [
+    "train_sql_big2.jsonl"
+  ],
+  "training_timestamp": "Fri Aug 30 19:21:20 2024",
+  "transformers_version": "4.43.4",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936,
+  "prompt_wrapper": "human_bot",
+  "description": "slim-sql is a text-to-sql model.",
+  "prompt_format": "<human> {table_schema} \n {question} \n<bot>:",
+  "output_format": "{sql}",
+  "tokenizer_local": "tokenizer_tl.json",
+  "tokenizer_config": {"bos_id":[1], "bos_token":["<s>"], "eos_id":[2],"eos_token":["</s>"]},
+  "model_parent": "llmware/slim-sql-1b-v0",
+  "description": "Text-to-SQL model from llmware - finetuned on tiny-llama - 1.1 parameter base",
+  "quantization": "int4",
+  "model_family": "OVGenerativeModel",
+  "parameters": 1.1,
+  "primary_keys": ["sql"],
+  "output_values": ["{{sql statement}}"],
+  "publisher": "llmware",
+  "release_date": "september 2024",
+  "function_call": "sql",
+  "test_params": ["sql"],
+   "test_set": [
+  {
+   "context": "CREATE TABLE customers (customer_name text, account_number integer,customer_level text, vip_customer text, annual_spend text, user_name text)",
+   "query": "Which customers are VIP customers?",
+   "answer": "SELECT * FROM customers WHERE vip_customer='yes'"
+  },
+  {
+   "context": "CREATE TABLE customers (customer_name text, account_number integer,customer_level text, vip_customer text, annual_spend text, user_name text)",
+   "query": "What is the annual spend for customer Rachel Michaels?",
+   "answer": "SELECT annual_spend FROM customers WHERE customer_name='Rachel Michaels'"
+  },
+  {
+   "context": "CREATE TABLE customers (customer_name text, account_number integer,customer_level text, vip_customer text, annual_spend text, user_name text)",
+   "query": "How many customers spend more than $1000 per year?",
+   "answer": "SELECT COUNT(*) FROM customers WHERE annual_spend > $1000"
+  },
+  {
+   "context": "CREATE TABLE customers (customer_name text, account_number integer,customer_level text, vip_customer text, annual_spend text, user_name text)",
+   "query": "Who are the customers with gold customer level?",
+   "answer": "SELECT customer_name FROM customers WHERE customer_level = 'gold'"
+  },
+  {
+   "context": "CREATE TABLE customers (customer_name text, account_number integer,customer_level text, vip_customer text, annual_spend text, user_name text)",
+   "query": "Which customer has account number 9382035?",
+   "answer": "SELECT * FROM customers WHERE account_number = 9382035"
+  },
+  {
+   "context": "CREATE TABLE customers (customer_name text, account_number integer,customer_level text, vip_customer text, annual_spend text, user_name text)",
+   "query": "What is the account number of customer Susanna Jones?",
+   "answer": "SELECT account_number FROM customers WHERE customer_name='Susanna Jones'"
+  },
+  {
+   "context": "CREATE TABLE library (library_name text, unique_doc_id integer, documents integer, blocks integer, images integer, pages integer, tables integer, account_name text)",
+   "query": "How many pages are in the human resources library?",
+   "answer": "SELECT pages FROM library WHERE library_name = 'human resources'"
+  },
+  {
+   "context": "CREATE TABLE library (library_name text, unique_doc_id integer, documents integer, blocks integer, images integer, pages integer, tables integer, account_name text)",
+   "query": "Which libraries have more than 1000 images?",
+   "answer": "SELECT * FROM library WHERE images > 1000"
+  },
+  {
+   "context": "CREATE TABLE library (library_name text, unique_doc_id integer, documents integer, blocks integer, images integer, pages integer, tables integer, account_name text)",
+   "query": "How many blocks are in the finance library?",
+   "answer": "SELECT blocks FROM library WHERE library_name = 'finance library'"
+  },
+  {
+   "context": "CREATE TABLE library (library_name text, unique_doc_id integer, documents integer, blocks integer, images integer, pages integer, tables integer, account_name text)",
+   "query": "What is a list of all of the libraries?",
+   "answer": "SELECT * FROM library"
+  },
+  {
+   "context": "CREATE TABLE library (library_name text, unique_doc_id integer, documents integer, blocks integer, images integer, pages integer, tables integer, account_name text)",
+   "query": "Which library has unique_doc_id of 8329?",
+   "answer": "SELECT * FROM library WHERE unique_doc_id = 8329"
+  }
+ ]
+}