Add Deepspeed Example of FLEX Mistral (#10640)

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Heyang Sun 2024-04-03 16:04:17 +08:00 committed by GitHub
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#
# Copyright 2016 The BigDL Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
export MASTER_ADDR=127.0.0.1
export FI_PROVIDER=tcp
export CCL_ATL_TRANSPORT=ofi
export CCL_ZE_IPC_EXCHANGE=sockets
export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so:${LD_PRELOAD}
basekit_root=/opt/intel/oneapi
source $basekit_root/setvars.sh --force
source $basekit_root/ccl/latest/env/vars.sh --force
NUM_GPUS=2 # number of used GPU
export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=2
export TORCH_LLM_ALLREDUCE=0 # Different from PVC
mpirun -np $NUM_GPUS --prepend-rank \
python deepspeed_autotp.py --repo-id-or-model-path 'mistralai/Mistral-7B-Instruct-v0.1' --low-bit 'sym_int4'

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[INST] Artificial Intelligence (AI) is a branch of computer science that deals with the simulation of intelligent behavior in computers. It is a broad
```
#### 2.4 Deepspeed Tensor Parallel Inference
For platforms without sufficient GPU memory to serve Mistral on one signle GPU card, **Deepspeed Tensor Parallel** can help to scale the inference to multiple cards, which enables large model and increases resource utilization. Please to refer to [here](../../../Deepspeed-AutoTP).