chabab/gemma-3-270m-text2sql-oracle-postgres
zetlyn/models-hf model hf chabab/gemma-3-270m-text2sql-oracle-postgres known 2026-08-27
https://huggingface.co/chabab/gemma-3-270m-text2sql-oracle-postgres
Properties
| author | chababreceipt
What the source handed over{
"_asked": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"_id": "6a8f8f1abecbc060ed781e15",
"author": "chabab",
"cardData": {
"base_model": "google/gemma-3-270m-it",
"datasets": [
"chabab/text2sql-oracle-postgres"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft"
]
},
"config": {
"architectures": [
"Gemma3ForCausalLM"
],
"chat_template_jinja": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n",
"model_type": "gemma3_text",
"tokenizer_config": {
"bos_token": "<bos>",
"eos_token": "<eos>",
"pad_token": "<pad>",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-08-27T01:12:58.000Z",
"disabled": false,
"downloads": 127,
"gated": false,
"id": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"lastModified": "2026-08-27T01:36:22.000Z",
"library_name": "transformers",
"likes": 0,
"model-index": null,
"modelId": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F32": 268098176
},
"total": 268098176
},
"sha": "cfc5d04c7e9922d6215da7ccaf6cca4a358b9724",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "added_tokens.json"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft",
"conversational",
"dataset:chabab/text2sql-oracle-postgres",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5400176275,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
|---|---|---|---|---|---|---|---|
| downloads | 127receipt
What the source handed over{
"_asked": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"_id": "6a8f8f1abecbc060ed781e15",
"author": "chabab",
"cardData": {
"base_model": "google/gemma-3-270m-it",
"datasets": [
"chabab/text2sql-oracle-postgres"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft"
]
},
"config": {
"architectures": [
"Gemma3ForCausalLM"
],
"chat_template_jinja": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n",
"model_type": "gemma3_text",
"tokenizer_config": {
"bos_token": "<bos>",
"eos_token": "<eos>",
"pad_token": "<pad>",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-08-27T01:12:58.000Z",
"disabled": false,
"downloads": 127,
"gated": false,
"id": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"lastModified": "2026-08-27T01:36:22.000Z",
"library_name": "transformers",
"likes": 0,
"model-index": null,
"modelId": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F32": 268098176
},
"total": 268098176
},
"sha": "cfc5d04c7e9922d6215da7ccaf6cca4a358b9724",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "added_tokens.json"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft",
"conversational",
"dataset:chabab/text2sql-oracle-postgres",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5400176275,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
| gated | falsereceipt
What the source handed over{
"_asked": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"_id": "6a8f8f1abecbc060ed781e15",
"author": "chabab",
"cardData": {
"base_model": "google/gemma-3-270m-it",
"datasets": [
"chabab/text2sql-oracle-postgres"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft"
]
},
"config": {
"architectures": [
"Gemma3ForCausalLM"
],
"chat_template_jinja": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n",
"model_type": "gemma3_text",
"tokenizer_config": {
"bos_token": "<bos>",
"eos_token": "<eos>",
"pad_token": "<pad>",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-08-27T01:12:58.000Z",
"disabled": false,
"downloads": 127,
"gated": false,
"id": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"lastModified": "2026-08-27T01:36:22.000Z",
"library_name": "transformers",
"likes": 0,
"model-index": null,
"modelId": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F32": 268098176
},
"total": 268098176
},
"sha": "cfc5d04c7e9922d6215da7ccaf6cca4a358b9724",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "added_tokens.json"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft",
"conversational",
"dataset:chabab/text2sql-oracle-postgres",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5400176275,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
| licence | apache-2.0receipt
What the source handed over{
"_asked": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"_id": "6a8f8f1abecbc060ed781e15",
"author": "chabab",
"cardData": {
"base_model": "google/gemma-3-270m-it",
"datasets": [
"chabab/text2sql-oracle-postgres"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft"
]
},
"config": {
"architectures": [
"Gemma3ForCausalLM"
],
"chat_template_jinja": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n",
"model_type": "gemma3_text",
"tokenizer_config": {
"bos_token": "<bos>",
"eos_token": "<eos>",
"pad_token": "<pad>",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-08-27T01:12:58.000Z",
"disabled": false,
"downloads": 127,
"gated": false,
"id": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"lastModified": "2026-08-27T01:36:22.000Z",
"library_name": "transformers",
"likes": 0,
"model-index": null,
"modelId": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F32": 268098176
},
"total": 268098176
},
"sha": "cfc5d04c7e9922d6215da7ccaf6cca4a358b9724",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "added_tokens.json"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft",
"conversational",
"dataset:chabab/text2sql-oracle-postgres",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5400176275,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
| likes | 0receipt
What the source handed over{
"_asked": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"_id": "6a8f8f1abecbc060ed781e15",
"author": "chabab",
"cardData": {
"base_model": "google/gemma-3-270m-it",
"datasets": [
"chabab/text2sql-oracle-postgres"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft"
]
},
"config": {
"architectures": [
"Gemma3ForCausalLM"
],
"chat_template_jinja": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n",
"model_type": "gemma3_text",
"tokenizer_config": {
"bos_token": "<bos>",
"eos_token": "<eos>",
"pad_token": "<pad>",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-08-27T01:12:58.000Z",
"disabled": false,
"downloads": 127,
"gated": false,
"id": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"lastModified": "2026-08-27T01:36:22.000Z",
"library_name": "transformers",
"likes": 0,
"model-index": null,
"modelId": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F32": 268098176
},
"total": 268098176
},
"sha": "cfc5d04c7e9922d6215da7ccaf6cca4a358b9724",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "added_tokens.json"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft",
"conversational",
"dataset:chabab/text2sql-oracle-postgres",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5400176275,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
| task | text-generationreceipt
What the source handed over{
"_asked": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"_id": "6a8f8f1abecbc060ed781e15",
"author": "chabab",
"cardData": {
"base_model": "google/gemma-3-270m-it",
"datasets": [
"chabab/text2sql-oracle-postgres"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft"
]
},
"config": {
"architectures": [
"Gemma3ForCausalLM"
],
"chat_template_jinja": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n",
"model_type": "gemma3_text",
"tokenizer_config": {
"bos_token": "<bos>",
"eos_token": "<eos>",
"pad_token": "<pad>",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-08-27T01:12:58.000Z",
"disabled": false,
"downloads": 127,
"gated": false,
"id": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"lastModified": "2026-08-27T01:36:22.000Z",
"library_name": "transformers",
"likes": 0,
"model-index": null,
"modelId": "chabab/gemma-3-270m-text2sql-oracle-postgres",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F32": 268098176
},
"total": 268098176
},
"sha": "cfc5d04c7e9922d6215da7ccaf6cca4a358b9724",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "added_tokens.json"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"text-to-sql",
"sql",
"oracle",
"postgresql",
"gemma3",
"trl",
"sft",
"conversational",
"dataset:chabab/text2sql-oracle-postgres",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5400176275,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} |
Text
This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/chabab/gemma-3-270m-text2sql-oracle-postgres.