Comments (1)
Yes, this would be a very important effort to support. We previously used vLLM, but have since switched to LoraX, which supports multi-adapter (https://github.com/predibase/lorax). There are other features that I prefer with vLLM.
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Related Issues (20)
- [Usage]: RuntimeError: CUDA error: uncorrectable ECC error encountered HOT 1
- v0.5.0 Release Tracker HOT 2
- [Usage]: How to start inference serving through `LLM` object HOT 3
- [Feature]: Custom attention masks
- [Feature]: vllm-flash-attn cu118 compatibility
- [Feature]: Add efficient interface for evaluating probabilities of fixed prompt-completion pairs HOT 1
- [Bug]: LLM.generate() collapse with some padding side HOT 1
- [Performance]: Speculative Performance almost same or lower HOT 4
- [Bug]: Tokenizer setter of LLM without CachedTokenizer adapter HOT 1
- [Usage]: Running Phi-3-small-128k-instruct with v0.4.3 without --trust-remote-code HOT 2
- [Feature]: support Classifier-Free Guidance Logits processor
- how to compile with GLIBCXX_USE_CXX11_ABI=1 HOT 2
- [Misc]: vllm ONLY allocate KVCache on the first device in CUDA_VISIBLE_DEVICES HOT 1
- [Misc]: Why prometheus metric vllm:request_success_total doubles the value? HOT 4
- [Bug]: prompt_logprobs doesn't work with openai compatible server HOT 11
- [Usage]:how to get the output embedding for a text generation model using vllm
- [Bug]: Pending but Avg generation throughput: 0.0 tokens/s
- vllm推理THUDM/chatglm3-6b-128k 无法stop
- [Usage]: How to load a model with less CPU memory
- [Bug]: a bug HOT 1
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