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import time
import signal
from huggingface_hub import InferenceClient
# Configuration - Modèles et leurs providers
MODELS = [
("Qwen/Qwen2.5-72B-Instruct", "sambanova"),
("meta-llama/Llama-3.3-70B-Instruct", "sambanova"),
("deepseek-ai/DeepSeek-R1-Distill-Llama-70B", "sambanova"),
("Qwen/QwQ-32B", "novita"),
# ("mistralai/Mistral-Small-24B-Instruct-2501", "novita")
]
QUESTION = "What is the capital of France?"
TIMEOUT = 10 # secondes
class TimeoutException(Exception):
pass
def timeout_handler(signum, frame):
raise TimeoutException("Timeout")
def test_model(model, provider):
client = InferenceClient(provider=provider)
# Configure le timeout
signal.signal(signal.SIGALRM, timeout_handler)
signal.alarm(TIMEOUT)
start_time = time.time()
try:
response = client.chat_completion(
model=model,
messages=[{"role": "user", "content": QUESTION}]
)
result = response.choices[0].message.content
success = True
except TimeoutException:
result = f"TIMEOUT ({TIMEOUT}s)"
success = False
except Exception as e:
result = str(e)
success = False
finally:
# Désactive l'alarme
signal.alarm(0)
execution_time = time.time() - start_time
status = "✅" if success else "❌"
print(f"{status} {model} ({provider}) - Temps: {execution_time:.2f}s")
if success:
print(f" Réponse: {result[:80]}..." if len(result) > 80 else f" Réponse: {result}")
else:
print(f" Erreur: {result}")
return success, execution_time, result
def main():
print(f"\nTest de {len(MODELS)} modèles avec leurs providers spécifiques")
print(f"Question: {QUESTION}")
print(f"Timeout: {TIMEOUT}s\n")
results = []
for model, provider in MODELS:
success, time_taken, response = test_model(model, provider)
results.append({
"model": model,
"provider": provider,
"success": success,
"time": time_taken
})
print("\n=== RÉSUMÉ ===")
for result in results:
status = "✅" if result["success"] else "❌"
print(f"{status} {result['model']} ({result['provider']}): {result['time']:.2f}s")
if __name__ == "__main__":
main() |