ColossalAI/colossalai/legacy/inference/serving/torch_serve/model-config.yaml
Xu Kai fd6482ad8c
[inference] Refactor inference architecture (#5057)
* [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>
2023-11-19 21:05:05 +08:00

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YAML

# TS frontend parameters settings
minWorkers: 1 # minimum number of workers of a model
maxWorkers: 1 # maximum number of workers of a model
batchSize: 8 # batch size of a model
maxBatchDelay: 100 # maximum delay of a batch (ms)
responseTimeout: 120 # timeout of a specific model's response (*in sec)
deviceType: "gpu"
# deviceIds: [0, 1] # seting CUDA_VISIBLE_DEVICES
handler:
mode: "text_generation"
model_type: "bloom"
tp_size: 1
max_batch_size: 8
max_input_len: 1024
max_output_len: 128