Related Issues (20)
- Basic usage issue
- usage for local models .
- Handling custom codes arguments like trust_remote_code
- Add memory bandwidth utilization metric
- Concurrency level is not handled properly
- Bug: Hugging Face TGI not working
- llmperf not working for concurrent users
- bug of counting output tokens
- HUGGINGFACE set
- Blocking on pending requests despite block == false HOT 1
- unable to get the benchmark result HOT 1
- Since it does not have a 'setup.py' nor a 'setup.cfg', it cannot be installed in editable mode PEP 660 HOT 1
- Vertex AI API needs to be updated.
- error in request_metrics dictionary implementation
- Sagemaker client issue
- Divide by zero: request_metrics[common_metrics.REQ_OUTPUT_THROUGHPUT] = num_output_tokens / request_metrics[common_metrics.E2E_LAT] HOT 3
- Subsequent requests cannot be sent until 'num_concurrent_requests' requests have all finished HOT 5
- How to use llmperf to test ollama performance (TTFT, etc) HOT 1
- When max-num-completed-requests is not divisible by num-concurrent-requests, an error will occur.
- Azure OpenAi Endpoint Support
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from llmperf.