transformers safetensors llama text-generation facebook meta pytorch llama-2 gguf function-calling function calling conversational en arxiv:2307.09288 autotrain_compatible text-generation-inference region:us
{"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{% if message['role'] == 'function_metadata' %}[INST] You have access to the following functions. Use them if required:\n\n{{ message['content'] }}\n\n{% elif message['role'] == 'user' and loop.index0 == 1 %}{{ message['content'] }}{% elif message['role'] == 'assistant' %} [/INST]{{ message['content'] }}{{ eos_token }}{% elif message['role'] == 'function_call' %}[INST] [FUNCTION_CALL] {{ message['content'] }}{{ eos_token }}{% elif message['role'] == 'function_response' %} [/INST][FUNCTION_RESPONSE] Here is the response to the function call. If helpful, use it to respond to the user's question:{{ message['content'] }}{% elif message['role'] == 'user' and loop.index0 != 1 %}[INST] {{ message['content'] }}{% endif %}{% endfor %}{% if add_generation_prompt %} [/INST]{% endif %}", "eos_token": "</s>", "pad_token": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": false}}