| import os |
| from huggingface_hub import HfApi |
|
|
| TOKEN = os.environ.get("HF_TOKEN") |
| OWNER = os.environ.get("HF_ORGANIZATION", "BetaPrecision") |
|
|
| REPO_ID = f"{OWNER}/llm-xray-leaderboard" |
| QUEUE_REPO = f"{OWNER}/requests" |
| RESULTS_REPO = f"{OWNER}/results" |
|
|
| CACHE_PATH = os.getenv("HF_HOME", "/data" if os.path.exists("/data") else "./data") |
|
|
| EVAL_REQUESTS_PATH = os.path.join(CACHE_PATH, "eval-queue") |
| EVAL_RESULTS_PATH = os.path.join(CACHE_PATH, "eval-results") |
|
|
| os.makedirs(EVAL_REQUESTS_PATH, exist_ok=True) |
| os.makedirs(EVAL_RESULTS_PATH, exist_ok=True) |
|
|
| API = HfApi(token=TOKEN) |
|
|
| |
| MAX_AUDIT_PARAMS_BILLION = float(os.environ.get("MAX_AUDIT_PARAMS_BILLION", "10.0")) |
| AUDIT_DEVICE = os.environ.get("AUDIT_DEVICE", "cuda" if os.environ.get("SPACES_ZERO_GPU") else "cpu") |
|
|
| DEMO_SEED_MODELS = [ |
| ("Qwen/Qwen2.5-0.5B-Instruct", "main"), |
| ] |
