Related Issues (20)
- [Bug]: The shape of the embed_tokens of llama model doesn't match the llama3 configuration
- [Bug]: TypeError: 'NoneType' object is not callable when start Gemma2-27b-it HOT 5
- [Bug]: Seed issue with Pipeline Parallel HOT 2
- [Bug]: vLLM is unable to load Mistral on Inferentia and AWS neuron HOT 1
- [Installation]: ERROR: Could not find a version that satisfies the requirement pyzmq (from versions: none) HOT 4
- [Bug]: No metrics exposed at /metrics with 0.5.2 (0.5.1 is fine), possible regression? HOT 6
- [Bug]: Can't load gemma-2-9b-it with vllm 0.5.2 HOT 9
- unable to run vllm model deployment HOT 13
- [Bug]: failed when run Qwen2-54B-A14B-GPTQ-Int4(MOE) HOT 3
- [Performance]: [Speculative Decoding] Measurement of Cost Coefficient through vLLM HOT 5
- [Usage]: PeftModelForCausalLM is not JSON serializable HOT 1
- [Feature]: Pipeline parallelism support for qwen model HOT 1
- [Installation]: Unable to build docker image for v0.5.2
- [Bug]: [vllm-openvino]: ValueError: `use_cache` was set to `True` but the loaded model only supports `use_cache=False`. HOT 7
- [Bug]: Gemma 27B crashes on GCP A100 HOT 2
- [Bug]: AttributeError: '_OpNamespace' '_C' object has no attribute 'rotary_embedding' / gemma-2-9b with vllm=0.5.2 HOT 12
- [New Model]: Codestral Mamba HOT 1
- [Bug]: No module named `jsonschema.protocols`.
- [Misc] Updated flashinfer to v0.0.9 in the following test scripts:
- [Bug]: The metrics have not improved. HOT 2
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