Comments (2)
Currently, vllm does not support the qwen-moe quantization
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Kneeling for support, qwen moe.
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Related Issues (20)
- [Bug]: Phi3 lora module not loading HOT 6
- [Performance]: Automatic Prefix Caching in multi-turn conversations HOT 8
- Virtual Office Hours: Jun 5 and Jun 20
- [Bug]: Embedding model not working with tensor parallel HOT 1
- [RFC]: Postmerge performance suite HOT 4
- [Feature]: Add prompt token ids into logit processor? HOT 1
- [Bug]: speculative decoding got `shape mismatch` error with n>1 and random sample
- text_generation_router::infer: router/src/infer.rs:130: no permits available
- [Usage]: How to reload model when tensor_parallel_size > 1 ? HOT 2
- [Bug]: run vllm api with docker
- [Feature]: Support for MiniCPM-Llama3-V-2_5 the Multi-modal LLM
- [Bug]: Error executing method load_model. This might cause deadlock in distributed execution.
- [Feature]: pre release or nightly builds
- [Installation]: Reduce Image size when installing wheel with cuda 11.8 HOT 1
- [New Model]: Phi-3-medium-128k-instruct support HOT 1
- [Feature]: automatically select distributed inference backend HOT 2
- [Feature]: Support loading of sharded vLLM serialized models with Tensorizer HOT 4
- [Feature]: microsoft/Phi-3-vision-128k-instruct Vision support HOT 1
- [FastAPI related] Built an API, ended into torch.cuda.OutOfMemoryError: CUDA out of memory
- [Installation]: editable install fails with setuptools 70.0.0 HOT 3
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