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config_variables.py
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config_variables.py
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# all configs are flexible to adapt with this config_variables.py
# if you want to change data output dir or dataset dir, please change DATA_OUTPUTS_DIR and DATASET_DIR
# if you want to add more configs, please:
# (1) if you want to add tools, please add to TASK_TYPE_TO_TOOL_IMPORT
# (2) if you want to add tasks, please add to TASK_INFO_MAP
# (3) if you want to add agent models, please add to agent_model_infos
# (4) if you want to add feedback models and configs, please add to feedback_model_infos and feedback_types
# (5) if you want to add env configs, please add to env_configs
DATA_OUTPUTS_DIR = "data/outputs"
DATASET_DIR = "data/processed"
TASK_TYPE_TO_TOOL_IMPORT = {
"reasoning": [("mint.tools.wikipedia_search", "WikipediaQueryRun")],
"decision_making": [],
"code_generation": [],
}
TASK_INFO_MAP = {
# === Reasoning ===
"theoremqa": {"class": "TheoremqaTask", "type": "reasoning"},
"gsm8k": {"class": "ReasoningTask", "type": "reasoning"},
"hotpotqa": {"class": "ReasoningTask", "type": "reasoning"},
"mmlu": {"class": "MultipleChoiceTask", "type": "reasoning"},
"math": {"class": "ReasoningTask", "type": "reasoning"},
# === Code Generation ===
"mbpp": {
"class": "MBPPTask",
"type": "code_generation",
},
"humaneval": {
"class": "HumanEvalTask",
"type": "code_generation",
},
# === Decision Making ===
"alfworld": {"class": "AlfWorldTask", "type": "decision_making"},
}
FEEDBACK_CONFIG = {
"feedback_agent_config": {
"chat_mode": True,
"max_tokens": 1024,
"temperature": 0.0,
"stop": ["\nQ:"],
}
}
EVALUATED_MODEL_LIST = [
{
"agent_class": "OpenAILMAgent",
"config": {
"model_name": "gpt-3.5-turbo-0613",
"chat_mode": True,
"max_tokens": 512,
"temperature": 0.0,
},
},
# {
# "agent_class": "OpenAILMAgent",
# "config": {
# "model_name": "gpt-3.5-turbo-0613",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# },
# },
# {
# "agent_class": "OpenAILMAgent",
# "config": {
# "model_name": "gpt-3.5-turbo-16k-0613",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# },
# },
# {
# "agent_class": "OpenAILMAgent",
# "config": {
# "model_name": "gpt-4-0613",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# },
# },
# Bard
# {
# "agent_class": "BardLMAgent",
# "config": {
# "model_name": "chat-bison-001",
# "add_system_message": False,
# "temperature": 0.0,
# "candidate_count": 1,
# },
# },
# LLaMA2
# {
# "agent_class": "LLaMA2LMAgent",
# "config": {
# "model_name": "Llama-2-7b-chat-hf",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Llama-2-7b-hf",
# "chat_mode": False,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Llama-2-13b-hf",
# "chat_mode": False,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Llama-2-70b-hf",
# "chat_mode": False,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Llama-2-7b-chat-hf",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Llama-2-13b-chat-hf",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Llama-2-70b-chat-hf",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "llama-2-lemur-70b-chat-v1",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "llama-2-lemur-70b-v1",
# "chat_mode": False,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "vicuna-7b-v1.5",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "vicuna-13b-v1.5",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "vicuna-7b-v1.5-16k",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "vicuna-13b-v1.5-16k",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "CodeLlama-7b-hf",
# "chat_mode": False,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "CodeLlama-13b-hf",
# "chat_mode": False,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "CodeLlama-34b-hf",
# "chat_mode": False,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "CodeLlama-7b-Instruct-hf",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "CodeLlama-13b-Instruct-hf",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "CodeLlama-34b-Instruct-hf",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "<YOUR_API_BASE>",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "ClaudeLMAgent",
# "config": {
# "model_name": "claude-2",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# },
# },
# {
# "agent_class": "ClaudeLMAgent",
# "config": {
# "model_name": "claude-instant-1",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Mistral-7B-Instruct-v0.2",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8000/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "zephyr-7b-beta",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8001/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "openchat-3.5-1210",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8002/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Starling-LM-7B-alpha",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8003/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Magicoder-S-DS-6.7B",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8004/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "OpenCodeInterpreter-DS-6.7B",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8005/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "MAmmoTH-7B-Mistral",
# "chat_mode": False, # Cannot find its chat template
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8006/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "WizardMath-7B-V1.1",
# "chat_mode": False, # Cannot find its chat template
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8007/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "OpenMath-Mistral-7B-v0.1-hf",
# "chat_mode": False, # Cannot find its chat template
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8008/v1",
# "add_system_message": False,
# },
# },
# # ==== Larger ====
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Mixtral-8x7B-Instruct-v0.1",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8009/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "deepseek-coder-33b-instruct",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8010/v1",
# "add_system_message": False,
# },
# },
# # >67B
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "CodeLlama-70b-Instruct-hf",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8011/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "deepseek-llm-67b-chat",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8012/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Qwen1.5-72B-Chat",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8013/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "OpenCodeInterpreter-CL-70B",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8014/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "OpenMath-CodeLlama-70b-Python-hf",
# "chat_mode": False, # Cannot find its chat template
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8015/v1",
# "add_system_message": False,
# },
# }
# ==== Eurus ====
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Eurus-7B-KTO",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8016/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Eurus-7B-SFT",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8017/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Eurus-70B-SFT",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8018/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Eurus-70B-NCA",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8019/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "CodeQwen1.5-7B-Chat",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8020/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Meta-Llama-3-8B-Instruct",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8021/v1",
# "add_system_message": False,
# },
# },
# {
# "agent_class": "VLLMAgent",
# "config": {
# "model_name": "Meta-Llama-3-70B-Instruct",
# "chat_mode": True,
# "max_tokens": 512,
# "temperature": 0.0,
# "openai.api_base": "http://localhost:8022/v1",
# "add_system_message": False,
# },
# },
]
FEEDBACK_PROVIDER_LIST = [
{
"agent_class": "None",
"model_name": "None",
},
# NOTE: You can comment out the feedback provider you don't want to measure
# the ability of the evaluated model to leverage feedback
# {
# "agent_class": "OpenAIFeedbackAgent",
# "model_name": "gpt-4-0613",
# },
# {
# "agent_class": "OpenAIFeedbackAgent",
# "model_name": "gpt-3.5-turbo-16k-0613",
# },
# {
# "agent_class": "ClaudeFeedbackAgent",
# "model_name": "claude-2",
# },
# {
# "agent_class": "ClaudeFeedbackAgent",
# "model_name": "claude-instant-1",
# },
# {
# "agent_class": "VLLMFeedbackAgent",
# "model_name": "Llama-2-70b-chat-hf",
# "openai.api_base": "<YOUR_API_BASE>",
# "chat_mode": True,
# },
# {
# "agent_class": "VLLMFeedbackAgent",
# "model_name": "CodeLlama-34b-hf",
# "openai.api_base": "<YOUR_API_BASE>",
# "chat_mode": False,
# },
# {
# "agent_class": "VLLMFeedbackAgent",
# "model_name": "Llama-2-70b-hf",
# "openai.api_base": "<YOUR_API_BASE>",
# "chat_mode": False,
# },
# {
# "agent_class": "VLLMFeedbackAgent",
# "model_name": "CodeLlama-34b-Instruct-hf",
# "openai.api_base": "<YOUR_API_BASE>",
# "chat_mode": False,
# },
]
FEEDBACK_TYPES = [
# NOTE: You can comment out the feedback provider you don't want to measure
# the ability of the evaluated model to leverage feedback
# {"pseudo_human_feedback": "no_GT", "feedback_form": "textual"},
# {"pseudo_human_feedback": "no_GT", "feedback_form": "binary"},
# {"pseudo_human_feedback": "GT", "feedback_form": "binary"},
# {"pseudo_human_feedback": "GT", "feedback_form": "textual"},
]
ENV_CONFIGS = [
{
"max_steps": 5,
"use_tools": True,
"max_propose_solution": 2,
"count_down": True,
},
{
"max_steps": 4,
"use_tools": True,
"max_propose_solution": 2,
"count_down": True,
},
{
"max_steps": 3,
"use_tools": True,
"max_propose_solution": 2,
"count_down": True,
},
{
"max_steps": 2,
"use_tools": True,
"max_propose_solution": 2,
"count_down": True,
},
{
"max_steps": 1,
"use_tools": True,
"max_propose_solution": 1,
"count_down": True,
},
# {
# "max_steps": 6,
# "use_tools": True,
# "max_propose_solution": 2,
# "count_down": True,
# },
# {
# "max_steps": 8,
# "use_tools": True,
# "max_propose_solution": 2,
# "count_down": True,
# },
# {
# "max_steps": 10,
# "use_tools": True,
# "max_propose_solution": 2,
# "count_down": True,
# }
]