Comments (4)
The current version does not support it yet and it might be hard to modify for it.
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hi, @Hzfengsy , so if I want to deploy my pruned model, now the only solution is use nn.KVCache to replace the PagedKVCache as the old commit did? Or if I can create more than one PagedKVCache and use different PagedKVCache in different layers? Could you give me some suggestion?
thank you for reply.
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KV cache is a common interface, the solution right now would be to create a difference instance of kv cache implementation of the same interfaceand replace it
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@BenchuYee hi, I want to adjust the KVCache for more flexible usage, which old commit did you use to build the nn.KVCache model? and BTW, do you guys observe obvious performance drop using nn.KVCache instead of PagedKVCache (no batch requirest considered)?
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Related Issues (20)
- [Bug] phi 2 q4 model doesn't work
- Phi-2 q4f16_1 runs faster when compiled without `tvm.relax.transform.FuseOps()` and `tvm.relax.transform.FuseTIR()` transformations HOT 4
- [Question] KVCache: 0.00 MB when compiling models HOT 3
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- [Feature Request] phi-3 small realeased -> performs two times ebtter then Phi-3 mini
- [Bug]: Error on "The block is 1-time referenced by other blocks, thus cannot accept new KV values." HOT 2
- [Doc] Python API KV/memory reset details absent HOT 6
- [Question] Why `Chat`and `Completion` have different structure in `engine.py`? HOT 2
- Unable to serve Mistral-7B-Instruct-v0.3 HOT 3
- qwen1.5-0.5B-chat : lm_head.weight HOT 6
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- [Question] Does OpenCL on Adreno GPU support OpenCL ML SDK HOT 1
- mlc_llm serve fails on concurrent users - Llama3 70B parameter hosting HOT 3
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- Compiling WebAssembly library with debug symbols/source map to aid in debugging
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- [Bug] iOS | mlc_llm package not working HOT 6
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