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- Always return the hidden states. - Create the output tensor inside the `attention` and `paged_attention` functions. This removes the difference between how the output is handled between attention (output parameter) and paged attention (return value). This also removes the assumption that the attention implementation can write to an output tensor (in preparation of FlashInfer). |
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.. | ||
custom_kernels | ||
exllama_kernels | ||
exllamav2_kernels | ||
tests | ||
text_generation_server | ||
.gitignore | ||
Makefile | ||
Makefile-awq | ||
Makefile-eetq | ||
Makefile-fbgemm | ||
Makefile-flash-att | ||
Makefile-flash-att-v2 | ||
Makefile-lorax-punica | ||
Makefile-selective-scan | ||
Makefile-vllm | ||
poetry.lock | ||
pyproject.toml | ||
README.md | ||
requirements_cuda.txt | ||
requirements_intel.txt | ||
requirements_rocm.txt |
Text Generation Inference Python gRPC Server
A Python gRPC server for Text Generation Inference
Install
make install
Run
make run-dev