Related Issues (20)
- [Bug]: AssertionError in neuron_model_runner.py assert len(block_table) == 1
- [Usage]: Experiencing weird import bugs and errors after installing with pip install -e . HOT 2
- [Bug]: Scheduler fail with assertion on "meta-llama/Meta-Llama-3-70B-Instruct" when calling concurrently HOT 2
- [Usage]: I want to know the correspondence between vllm and torch and cuda
- [Misc]: Server Does Not Follow Scheduler Policy HOT 1
- [RFC]: Dynamic Speculative Decoding HOT 2
- [Bug]: Query to the openapi server with cpu backend is throwing error HOT 5
- [CI][Contribution Welcomed] Conditional Testing HOT 7
- [New Model]: Cogagent
- [Bug]: Change in model behaviour between 0.4.0-post and 0.4.1
- [Misc]: openai compatible server HOT 1
- [Doc]: i want to know. How to run vllms with remote ray cluster
- [Bug]: guided jsons with date fields are not valid HOT 2
- [Bug]: Tensorizer model loader blocks multi-GPU loading even for HF serialized models
- [Bug]: `vllm.entrypoints.openai.api_server` CLI command doesn't accept `None` value for `--quantization`
- [Bug]: vllm 0.4.1 crashing after checking P2P status on single GPU HOT 1
- [Usage]: Difference in language model usage post updating versions form 0.2 to 0.4 HOT 1
- [Bug]: Loading GenerationConfig to SamplingParams.stop_token_ids interfere with ignore_eos=True HOT 3
- [Bug]: 400 Bad Request HOT 3
- [Bug]: I used vllm=0.4.1 to run the squeezellm, I meet the bug RuntimeError: t == DeviceType::CUDA INTERNAL ASSERT FAILED at "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/torch/include/c10/cuda/impl/CUDAGuardImpl.h":25, please report a bug to PyTorch. HOT 1
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