Related Issues (20)
- [Installation]:
- [Feature]: Add num_requests_preempted metric HOT 1
- Running Vllm on ray cluster, logging stuck at loading
- [Feature]: multi-steps model_runner? HOT 1
- [Bug]: Cannot build cpu docker image
- [Bug]: vllm.engine.async_llm_engine.AsyncEngineDeadError: Background loop has errored already. HOT 4
- [Usage]: not support for mistralai/Mistral-7B-Instruct-v0.3 HOT 3
- [Bug]: When load model weights, there are infinite loading
- [Misc]: How to use guided decoding and regex as well? HOT 2
- [Feature]: Integration of transformers past_key_values into the vllm kvcache Function HOT 4
- [Bug]: The VRAM usage of calculating log_probs is not considered in profile run HOT 5
- [Bug]: Build/Install Issues with pip install -e . HOT 1
- [Performance]: A few performance-related questions.
- [Bug]: The inference speed of vllm running command-r-plus-gptq is very slow
- [Usage]: Inference on LLama3-8b-Instruct using Lora Adapter
- [Usage]: quantization option usage HOT 1
- curl http://localhost:8000/generate {"detail":"Not Found"}[Usage] generate relu can not ues HOT 1
- [RFC]: OpenAI Triton-only backend HOT 3
- [Bug]: The vllm is disconnected after running for some time
- [Feature]: Adopt Colossal Inference Features (55% speedup over vLLM)
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