ecologits-calculator / src /constants.py
vdwow's picture
fix: linting + text mistakes
8a56d57
raw
history blame
2.78 kB
PROMPTS = [
("Write a Tweet", 50),
("Write an email", 170),
("Write an article summary", 250),
("Small conversation with a chatbot", 400),
("Write a report of 5 pages", 5000),
("Write the code for this app", 15000),
]
PROMPTS = [(s + f" ({v} output tokens)", v) for (s, v) in PROMPTS]
MODEL_REPOSITORY_URL = "https://raw.githubusercontent.com/genai-impact/ecologits/refs/heads/main/ecologits/data/models.json"
main_models_openai = [
"chatgpt-4o-latest",
"gpt-3.5-turbo",
"gpt-4",
"gpt-4-turbo",
"gpt-4o",
"gpt-4o-mini",
"o1",
"o1-mini",
]
main_models_meta = [
"meta-llama/Meta-Llama-3.1-8B",
"meta-llama/Meta-Llama-3.1-70B",
"meta-llama/Meta-Llama-3.1-405B",
"meta-llama/Meta-Llama-3-8B",
"meta-llama/Meta-Llama-3-70B",
"meta-llama/Meta-Llama-3-70B",
"meta-llama/Llama-2-7b",
"meta-llama/Llama-2-13b",
"meta-llama/Llama-2-70b",
"meta-llama/CodeLlama-7b-hf",
"meta-llama/CodeLlama-13b-hf",
"meta-llama/CodeLlama-34b-hf",
"meta-llama/CodeLlama-70b-hf",
]
main_models_msft = [
"microsoft/phi-1",
"microsoft/phi-1_5",
"microsoft/Phi-3-mini-128k-instruct",
"microsoft/Phi-3-small-128k-instruct",
"microsoft/Phi-3-medium-128k-instruct",
]
main_models_anthropic = [
"claude-2.0",
"claude-2.1",
"claude-3-5-haiku-latest",
"claude-3-5-sonnet-latest",
"claude-3-7-sonnet-latest",
"claude-3-haiku-20240307",
"claude-3-opus-latest",
"claude-3-sonnet-20240229",
]
main_models_cohere = [
"c4ai-aya-expanse-8b",
"c4ai-aya-expanse-32b",
"command",
"command-light",
"command-r",
"command-r-plus",
]
main_models_google = [
"google/gemma-2-2b",
"google/gemma-2-9b",
"google/gemma-2-27b",
"google/codegemma-2b",
"google/codegemma-7b",
"gemini-1.0-pro",
"gemini-1.5-pro",
"gemini-1.5-flash",
"gemini-2.0-flash",
]
main_models_databricks = [
"databricks/dolly-v1-6b",
"databricks/dolly-v2-12b",
"databricks/dolly-v2-7b",
"databricks/dolly-v2-3b",
"databricks/dbrx-base",
]
main_models_mistral = [
"mistralai/Mistral-7B-v0.3",
"mistralai/Mixtral-8x7B-v0.1",
"mistralai/Mixtral-8x22B-v0.1",
"mistralai/Codestral-22B-v0.1",
"mistralai/Mathstral-7B-v0.1",
"ministral-3b-latest",
"ministral-8b-latest",
"mistral-tiny",
"mistral-small",
"mistral-medium",
"mistral-large-latest",
]
MAIN_MODELS = (
main_models_meta
+ main_models_openai
+ main_models_anthropic
+ main_models_cohere
+ main_models_msft
+ main_models_mistral
+ main_models_databricks
+ main_models_google
)