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* [inference] support only TP (#4998) * support only tp * enable tp * add support for bloom (#5008) * [refactor] refactor gptq and smoothquant llama (#5012) * refactor gptq and smoothquant llama * fix import error * fix linear import torch-int * fix smoothquant llama import error * fix import accelerate error * fix bug * fix import smooth cuda * fix smoothcuda * [Inference Refactor] Merge chatglm2 with pp and tp (#5023) merge chatglm with pp and tp * [Refactor] remove useless inference code (#5022) * remove useless code * fix quant model * fix test import bug * mv original inference legacy * fix chatglm2 * [Refactor] refactor policy search and quant type controlling in inference (#5035) * [Refactor] refactor policy search and quant type controling in inference * [inference] update readme (#5051) * update readme * update readme * fix architecture * fix table * fix table * [inference] udpate example (#5053) * udpate example * fix run.sh * fix rebase bug * fix some errors * update readme * add some features * update interface * update readme * update benchmark * add requirements-infer --------- Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com> Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
17 lines
542 B
YAML
17 lines
542 B
YAML
# TS frontend parameters settings
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minWorkers: 1 # minimum number of workers of a model
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maxWorkers: 1 # maximum number of workers of a model
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batchSize: 8 # batch size of a model
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maxBatchDelay: 100 # maximum delay of a batch (ms)
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responseTimeout: 120 # timeout of a specific model's response (*in sec)
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deviceType: "gpu"
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# deviceIds: [0, 1] # seting CUDA_VISIBLE_DEVICES
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handler:
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mode: "text_generation"
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model_type: "bloom"
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tp_size: 1
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max_batch_size: 8
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max_input_len: 1024
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max_output_len: 128
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