Comments (10)
https://github.com/vllm-project/vllm/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22
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@HarryWu99 how big of a feature do you want to take on?
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how big of a feature do you want to take on?
@robertgshaw2-neuralmagic I don't know yet.š I'm still getting familiar with the code. For now, I am interested in "sparse kv cache". Hope to develop a related feature, if my ability allows.
Before that, I'm also happy to deal with some simple bug fixes.
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@HarryWu99 cool! A good one to take on eventually would be StreamingLLM in BlockManagerv2
When I was ramping on the codebase, I found that looking into metrics / monitoring is a decent place to start since you have to touch many pieces
I have a halfway done branch I could use some help pushing over the line
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In particular, https://github.com/ronensc/vllm/pull/1/files
Some of this PR I merged in today, but the rest of the new metrics need to be rebased onto main and ensure correctness / testing
If you want to pick it up to get the ball rolling let me know
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@robertgshaw2-neuralmagic yes, I'd love to have a try.
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Cool - Iām going to pick this back up on Wednesday or so, so please keep me in the loop to your progress
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StreamingLLM in BlockManagerv2
@robertgshaw2-neuralmagic Hi, i am interested in implementing this feature, but before the FlashInfer that enable attention kernel to apply rotary embedding in place being merged, are there any decent ways for us to do that?
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StreamingLLM in BlockManagerv2
I am interested in it, too.š
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@HarryWu99 we also have some ongoing work for embedding models that could use a hand
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Related Issues (20)
- [Bug]: Regression in LoRA Adapter loading speed between vllm 0.4.3 and 0.5.0 HOT 3
- [RFC]: Branch based version control, and development version
- [Usage]: how to use marlin kernel for GPTQ model HOT 9
- [Performance]:
- [Bug]: BitsandBytes quantization is not working as expected HOT 4
- [Usage]: Using VLLM with Langchain for RAG purposes HOT 2
- [Bug]: Installation Issue with torch Version Conflict on vllm v0.5.0.post1 HOT 3
- [Bug]: chunked prefill scheudler uses up swap on many n>=2 requests HOT 3
- [Bug]: Mixtral8x7B very high spikes for Inter Token Latency (ITL)
- [Usage]: How to specify a GPU when i use vllm by 'python -m vllm.entrypoints.openai.api_server --served-model-name..' HOT 2
- [Feature]: Decouple the benchmark script from the components of vLLM HOT 1
- [Installation]: `ModuleNotFoundError: No module named 'numpy.lib.function_base'` due to NumPy 2.0 release HOT 2
- [Usage]: 'InternVLChatConfig' object has no attribute 'num_attention_heads' HOT 2
- [Bug]: The "sorted(gpu_ids)" operation in ray_gpu_executor.py causes an incorrect order of GPU IDs When using the NVIDIA HGX A100 (16-GPU) platform for model inference. HOT 1
- [Bug]: Embedding doesn't work with `device="cpu"` HOT 1
- [bug]vllm deployement is failing on nvidia because of numpy2.0 upgrade HOT 1
- [Bug]: GPTQ-Marlin kernel illegal memory access with `group_size=32`, `desc_act=True`, `tp=4` HOT 3
- [Feature]: Add config of use_dummy_driver rather than default 'False' HOT 3
- [Feature]: support Qwen2 embedding HOT 2
- RuntimeError: No suitable kernel. h_in=16 h_out=4096 dtype=Float out_dtype=Half HOT 2
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