Meta-Llama-3-8B-Instruct 本地推理
基础环境信息（wsl2安装Ubuntu22.04 + miniconda）
使用miniconda搭建环境
(base) :~$ conda create --name pytorch212 python=3.10
Retrieving notices: ...working... done
Channels:- defaults
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: done## Package Plan ##environment location: /home/chop/miniconda3/envs/pytorch212added / updated specs:- python=3.10The following NEW packages will be INSTALLED:_libgcc_mutex anaconda/pkgs/main/linux-64::_libgcc_mutex-0.1-main_openmp_mutex anaconda/pkgs/main/linux-64::_openmp_mutex-5.1-1_gnubzip2 anaconda/pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_5ca-certificates anaconda/pkgs/main/linux-64::ca-certificates-2024.3.11-h06a4308_0ld_impl_linux-64 anaconda/pkgs/main/linux-64::ld_impl_linux-64-2.38-h1181459_1libffi anaconda/pkgs/main/linux-64::libffi-3.4.4-h6a678d5_0libgcc-ng anaconda/pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1libgomp anaconda/pkgs/main/linux-64::libgomp-11.2.0-h1234567_1libstdcxx-ng anaconda/pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1libuuid anaconda/pkgs/main/linux-64::libuuid-1.41.5-h5eee18b_0ncurses anaconda/pkgs/main/linux-64::ncurses-6.4-h6a678d5_0openssl anaconda/pkgs/main/linux-64::openssl-3.0.13-h7f8727e_0pip anaconda/pkgs/main/linux-64::pip-23.3.1-py310h06a4308_0python anaconda/pkgs/main/linux-64::python-3.10.14-h955ad1f_0readline anaconda/pkgs/main/linux-64::readline-8.2-h5eee18b_0setuptools anaconda/pkgs/main/linux-64::setuptools-68.2.2-py310h06a4308_0sqlite anaconda/pkgs/main/linux-64::sqlite-3.41.2-h5eee18b_0tk anaconda/pkgs/main/linux-64::tk-8.6.12-h1ccaba5_0tzdata anaconda/pkgs/main/noarch::tzdata-2024a-h04d1e81_0wheel anaconda/pkgs/main/linux-64::wheel-0.41.2-py310h06a4308_0xz anaconda/pkgs/main/linux-64::xz-5.4.6-h5eee18b_0zlib anaconda/pkgs/main/linux-64::zlib-1.2.13-h5eee18b_0Proceed ([y]/n)? yDownloading and Extracting Packages:Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate pytorch212
#
# To deactivate an active environment, use
#
# $ conda deactivate(base) :~$ conda activate pytorch212下载Llama-Chinese
(pytorch212) :~$git init
(pytorch212) :~$git clone https://github.com/LlamaFamily/Llama-Chinese.git
(pytorch212) :~$ cd Llama-Chinese
(pytorch212) :~/Llama-Chinese$ ls
README.md README_EN.md assets data docker docs examples inference-speed requirements.txt scripts train
安装所需要的软件包
(pytorch212) :~/Llama-Chinese/Llama-Chinese$ pip install -r requirements.txt
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting torch==2.1.2 (from -r requirements.txt (line 1))Using cached https://pypi.tuna.tsinghua.edu.cn/packages/03/f1/13137340776dd5d5bcfd2574c9c6dfcc7618285035cd77240496e5c1a79b/torch-2.1.2-cp310-cp310-manylinux1_x86_64.whl (670.2 MB)
Requirement already satisfied: bitsandbytes==0.42.0 in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 2)) (0.42.0)
Requirement already satisfied: accelerate==0.27.2 in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 3)) (0.27.2)
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Requirement already satisfied: pytest in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 11)) (8.1.1)
Requirement already satisfied: peft==0.8.2 in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 12)) (0.8.2)
Requirement already satisfied: transformers==4.39.0 in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 13)) (4.39.0)
Collecting deepspeed==0.14.0 (from -r requirements.txt (line 14))Using cached deepspeed-0.14.0-py3-none-any.whl
Requirement already satisfied: scikit-learn in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 15)) (1.4.2)
Requirement already satisfied: torchvision in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 16)) (0.17.2)
Requirement already satisfied: torchdata in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 17)) (0.7.1)
Requirement already satisfied: torchaudio in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 18)) (2.2.2)
Requirement already satisfied: tensorboard in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 19)) (2.16.2)
Requirement already satisfied: gradio in /home/chop/.local/lib/python3.10/site-packages (from -r requirements.txt (line 20)) (4.27.0)
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Requirement already satisfied: filelock in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (3.13.4)
Requirement already satisfied: typing-extensions in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (4.11.0)
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Requirement already satisfied: networkx in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (3.3)
Requirement already satisfied: jinja2 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (3.1.3)
Requirement already satisfied: fsspec in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (2024.3.1)
Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (12.1.105)
Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (12.1.105)
Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (12.1.105)
Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (8.9.2.26)
Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (12.1.3.1)
Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (11.0.2.54)
Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (10.3.2.106)
Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (11.4.5.107)
Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (12.1.0.106)
Collecting nvidia-nccl-cu12==2.18.1 (from torch==2.1.2->-r requirements.txt (line 1))Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a4/05/23f8f38eec3d28e4915725b233c24d8f1a33cb6540a882f7b54be1befa02/nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl (209.8 MB)
Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /home/chop/.local/lib/python3.10/site-packages (from torch==2.1.2->-r requirements.txt (line 1)) (12.1.105)
Collecting triton==2.1.0 (from torch==2.1.2->-r requirements.txt (line 1))Using cached https://pypi.tuna.tsinghua.edu.cn/packages/4d/22/91a8af421c8a8902dde76e6ef3db01b258af16c53d81e8c0d0dc13900a9e/triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89.2 MB)
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Requirement already satisfied: huggingface-hub in /home/chop/.local/lib/python3.10/site-packages (from accelerate==0.27.2->-r requirements.txt (line 3)) (0.22.2)
Requirement already satisfied: safetensors>=0.3.1 in /home/chop/.local/lib/python3.10/site-packages (from accelerate==0.27.2->-r requirements.txt (line 3)) (0.4.3)
Requirement already satisfied: tqdm in /home/chop/.local/lib/python3.10/site-packages (from peft==0.8.2->-r requirements.txt (line 12)) (4.66.2)
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Collecting ninja (from deepspeed==0.14.0->-r requirements.txt (line 14))Using cached https://pypi.tuna.tsinghua.edu.cn/packages/6d/92/8d7aebd4430ab5ff65df2bfee6d5745f95c004284db2d8ca76dcbfd9de47/ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl (307 kB)
Collecting py-cpuinfo (from deepspeed==0.14.0->-r requirements.txt (line 14))Using cached https://pypi.tuna.tsinghua.edu.cn/packages/e0/a9/023730ba63db1e494a271cb018dcd361bd2c917ba7004c3e49d5daf795a2/py_cpuinfo-9.0.0-py3-none-any.whl (22 kB)
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Requirement already satisfied: python-dateutil>=2.8.2 in /home/chop/.local/lib/python3.10/site-packages (from pandas->-r requirements.txt (line 6)) (2.9.0.post0)
Requirement already satisfied: pytz>=2020.1 in /home/chop/.local/lib/python3.10/site-packages (from pandas->-r requirements.txt (line 6)) (2024.1)
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Requirement already satisfied: pyarrow>=12.0.0 in /home/chop/.local/lib/python3.10/site-packages (from datasets->-r requirements.txt (line 9)) (16.0.0)
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Requirement already satisfied: exceptiongroup>=1.0.0rc8 in /home/chop/.local/lib/python3.10/site-packages (from pytest->-r requirements.txt (line 11)) (1.2.1)
Requirement already satisfied: tomli>=1 in /home/chop/.local/lib/python3.10/site-packages (from pytest->-r requirements.txt (line 11)) (2.0.1)
Requirement already satisfied: joblib>=1.2.0 in /home/chop/.local/lib/python3.10/site-packages (from scikit-learn->-r requirements.txt (line 15)) (1.4.0)
Requirement already satisfied: threadpoolctl>=2.0.0 in /home/chop/.local/lib/python3.10/site-packages (from scikit-learn->-r requirements.txt (line 15)) (3.4.0)
INFO: pip is looking at multiple versions of torchvision to determine which version is compatible with other requirements. This could take a while.
Collecting torchvision (from -r requirements.txt (line 16))Using cached https://pypi.tuna.tsinghua.edu.cn/packages/1a/e8/13432ae6be567b577a4c89d1bd50084e4d989b379a7be8050380b5ab3a6e/torchvision-0.17.1-cp310-cp310-manylinux1_x86_64.whl (6.9 MB)Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d8/51/55393d57c2d95311b1675c8cd37d307f5022460cf98746e4df882dfb415c/torchvision-0.17.0-cp310-cp310-manylinux1_x86_64.whl (6.9 MB)Using cached https://pypi.tuna.tsinghua.edu.cn/packages/da/ae/76bd3682465730dea7be21f36a8160a911a470de6f26228904f222e7fefe/torchvision-0.16.2-cp310-cp310-manylinux1_x86_64.whl (6.8 MB)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /home/chop/.local/lib/python3.10/site-packages (from torchvision->-r requirements.txt (line 16)) (10.3.0)
Requirement already satisfied: urllib3>=1.25 in /home/chop/.local/lib/python3.10/site-packages (from torchdata->-r requirements.txt (line 17)) (2.2.1)
INFO: pip is looking at multiple versions of torchaudio to determine which version is compatible with other requirements. This could take a while.
Collecting torchaudio (from -r requirements.txt (line 18))Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ce/99/7485966a902905e206eda57fdca8de69545c107e33eefe9f6536c2dda16c/torchaudio-2.2.1-cp310-cp310-manylinux1_x86_64.whl (3.3 MB)Using cached https://pypi.tuna.tsinghua.edu.cn/packages/30/fc/cdcf7c2071539ea147ddb6de2b538d9c1599665b621f2e6cf0b3ef51d20d/torchaudio-2.2.0-cp310-cp310-manylinux1_x86_64.whl (3.3 MB)Using cached https://pypi.tuna.tsinghua.edu.cn/packages/25/83/4170df23c16c25818ce9591fd2b8109cda3f725d115d77417d4efef4eb46/torchaudio-2.1.2-cp310-cp310-manylinux1_x86_64.whl (3.3 MB)
Requirement already satisfied: absl-py>=0.4 in /home/chop/.local/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 19)) (2.1.0)
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Requirement already satisfied: markdown>=2.6.8 in /home/chop/.local/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 19)) (3.6)
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Requirement already satisfied: setuptools>=41.0.0 in /home/chop/miniconda3/envs/pytorch212/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 19)) (68.2.2)
Collecting six>1.9 (from tensorboard->-r requirements.txt (line 19))Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl (11 kB)
Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /home/chop/.local/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 19)) (0.7.2)
Requirement already satisfied: werkzeug>=1.0.1 in /home/chop/.local/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 19)) (3.0.2)
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Requirement already satisfied: ruff>=0.2.2 in /home/chop/.local/lib/python3.10/site-packages (from gradio->-r requirements.txt (line 20)) (0.4.1)
Requirement already satisfied: semantic-version~=2.0 in /home/chop/.local/lib/python3.10/site-packages (from gradio->-r requirements.txt (line 20)) (2.10.0)
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Requirement already satisfied: jsonschema>=3.0 in /home/chop/.local/lib/python3.10/site-packages (from altair<6.0,>=4.2.0->gradio->-r requirements.txt (line 20)) (4.21.1)
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Collecting pyparsing>=2.3.1 (from matplotlib~=3.0->gradio->-r requirements.txt (line 20))Using cached https://pypi.tuna.tsinghua.edu.cn/packages/9d/ea/6d76df31432a0e6fdf81681a895f009a4bb47b3c39036db3e1b528191d52/pyparsing-3.1.2-py3-none-any.whl (103 kB)
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Installing collected packages: py-cpuinfo, ninja, hjson, triton, six, pyyaml, pyparsing, pynvml, nvidia-nccl-cu12, torch, torchvision, torchaudio, deepspeedAttempting uninstall: tritonFound existing installation: triton 2.2.0Uninstalling triton-2.2.0:Successfully uninstalled triton-2.2.0Attempting uninstall: nvidia-nccl-cu12Found existing installation: nvidia-nccl-cu12 2.19.3Uninstalling nvidia-nccl-cu12-2.19.3:Successfully uninstalled nvidia-nccl-cu12-2.19.3Attempting uninstall: torchFound existing installation: torch 2.2.2Uninstalling torch-2.2.2:Successfully uninstalled torch-2.2.2Attempting uninstall: torchvisionFound existing installation: torchvision 0.17.2Uninstalling torchvision-0.17.2:Successfully uninstalled torchvision-0.17.2Attempting uninstall: torchaudioFound existing installation: torchaudio 2.2.2Uninstalling torchaudio-2.2.2:Successfully uninstalled torchaudio-2.2.2
Successfully installed deepspeed-0.14.0 hjson-3.1.0 ninja-1.11.1.1 nvidia-nccl-cu12-2.18.1 py-cpuinfo-9.0.0 pynvml-11.5.0 pyparsing-3.1.2 pyyaml-6.0.1 six-1.16.0 torch-2.1.2 torchaudio-2.1.2 torchvision-0.16.2 triton-2.1.0
(pytorch212) :~/Llama-Chinese/Llama-Chinese$ pip list
Package Version
------------------------- -----------
absl-py 2.1.0
accelerate 0.27.2
aiofiles 23.2.1
aiohttp 3.9.5
aiosignal 1.3.1
altair 5.3.0
annotated-types 0.6.0
anyio 4.3.0
async-timeout 4.0.3
attrs 23.2.0
bitsandbytes 0.42.0
certifi 2024.2.2
charset-normalizer 3.3.2
click 8.1.7
contourpy 1.2.1
cycler 0.12.1
datasets 2.19.0
deepspeed 0.14.0
dill 0.3.8
evaluate 0.4.1
exceptiongroup 1.2.1
fastapi 0.110.2
ffmpy 0.3.2
filelock 3.13.4
fonttools 4.51.0
frozenlist 1.4.1
fsspec 2024.3.1
gekko 1.0.6
gradio 4.27.0
gradio_client 0.15.1
grpcio 1.62.2
h11 0.14.0
hjson 3.1.0
httpcore 1.0.5
httpx 0.27.0
huggingface-hub 0.22.2
idna 3.7
importlib_resources 6.4.0
iniconfig 2.0.0
Jinja2 3.1.3
joblib 1.4.0
jsonschema 4.21.1
jsonschema-specifications 2023.12.1
kiwisolver 1.4.5
Markdown 3.6
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.8.4
mdurl 0.1.2
mpmath 1.3.0
multidict 6.0.5
multiprocess 0.70.16
networkx 3.3
ninja 1.11.1.1
numpy 1.26.4
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cudnn-cu12 8.9.2.26
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu12 10.3.2.106
nvidia-cusolver-cu12 11.4.5.107
nvidia-cusparse-cu12 12.1.0.106
nvidia-nccl-cu12 2.18.1
nvidia-nvjitlink-cu12 12.4.127
nvidia-nvtx-cu12 12.1.105
orjson 3.10.1
packaging 24.0
pandas 2.2.2
peft 0.8.2
pillow 10.3.0
pip 23.3.1
pluggy 1.5.0
protobuf 5.26.1
psutil 5.9.8
py-cpuinfo 9.0.0
pyarrow 16.0.0
pyarrow-hotfix 0.6
pydantic 2.7.0
pydantic_core 2.18.1
pydub 0.25.1
Pygments 2.17.2
pynvml 11.5.0
pyparsing 3.1.2
pytest 8.1.1
python-dateutil 2.9.0.post0
python-multipart 0.0.9
pytz 2024.1
PyYAML 6.0.1
referencing 0.34.0
regex 2024.4.16
requests 2.31.0
responses 0.18.0
rich 13.7.1
rpds-py 0.18.0
ruff 0.4.1
safetensors 0.4.3
scikit-learn 1.4.2
scipy 1.13.0
semantic-version 2.10.0
sentencepiece 0.2.0
setuptools 68.2.2
shellingham 1.5.4
six 1.16.0
sniffio 1.3.1
starlette 0.37.2
sympy 1.12
tensorboard 2.16.2
tensorboard-data-server 0.7.2
threadpoolctl 3.4.0
tokenizers 0.15.2
tomli 2.0.1
tomlkit 0.12.0
toolz 0.12.1
torch 2.1.2
torchaudio 2.1.2
torchdata 0.7.1
torchvision 0.16.2
tqdm 4.66.2
transformers 4.39.0
triton 2.1.0
typer 0.12.3
typing_extensions 4.11.0
tzdata 2024.1
urllib3 2.2.1
uvicorn 0.29.0
websockets 11.0.3
Werkzeug 3.0.2
wheel 0.41.2
xxhash 3.4.1
yarl 1.9.4下载模型：Meta-Llama-3-8B-Instruct
你可以从以下来源下载Meta-Llama-3-8B-Instruct模型。
https://github.com/LlamaFamily/Llama-Chinese?tab=readme-ov-file
(pytorch212) :~$ cd Meta-Llama-3-8B-Instruct
(pytorch212) :~/Meta-Llama-3-8B-Instruct$ ls
LICENSE generation_config.json model-00004-of-00004.safetensors tokenizer.json
README.md model-00001-of-00004.safetensors model.safetensors.index.json tokenizer_config.json
USE_POLICY.md model-00002-of-00004.safetensors original
config.json model-00003-of-00004.safetensors special_tokens_map.json 使用Meta-Llama-3-8B-Instruct模型进行推理 创建一个名为 QuickStartLlama3.py 的文件，并将以下内容复制到该文件中。
import transformers
import torch
model_id = "./Meta-Llama-3-8B-Instruct"pipeline = transformers.pipeline("text-generation",model=model_id,model_kwargs={"torch_dtype": torch.bfloat16},device="cuda",
)messages = [{"role": "system", "content": "hello,You are a helpful human assistant!"},{"role": "user", "content": "介绍一下中国,请用中文回答"},
]prompt = pipeline.tokenizer.apply_chat_template(messages,tokenize=False,add_generation_prompt=True
)terminators = [pipeline.tokenizer.eos_token_id,pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
]outputs = pipeline(prompt,max_new_tokens=256,eos_token_id=terminators,do_sample=True,temperature=0.6,top_p=0.9,
)执行脚本
(pytorch212) :~$ python QuickStartLlama3.py
Loading checkpoint shards: 100%|████████████████████████████| 4/4 [00:02<00:00, 1.35it/s]
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
中国是世界上最 populous 的一个国家，位于亚洲东部，邻近朝鲜、俄罗斯、蒙古、塔吉克斯坦、阿富是世界上第二大经济体，拥有15亿多人口，文化古老，历史悠久，拥有五千多年的文明史。中国的政治体制是社会主义共和国，首都是北京市，政府是中国共产党领导的。中国的经济体制是社会中国有着丰富的自然资源，包括煤炭、石油、天然气、铁矿石、铜矿石、铅矿石等。中国的主要工业有非常发达，主要生产粮食、棉花、油料、糖料等农产品。中国的文化非常多样化，拥有五千多年的文明史，包括儒家、道
(pytorch212) :~$nvidia-smi命令实时查看指定GPU使用情况
watch -n 1 nvidia-smi # 1代表每隔1秒刷新一次GPU使用情况NVIDIA-SMI 550.76.01 #GRID版本
Driver Version: 552.22 #驱动版本
CUDA Version: 12.4 #CUDA最高支持的版本
GPU：本机中的GPU编号，从0开始，本机只有一块GPU
Fan：风扇转速（0%-100%），N/A表示没有风扇
Name：GPU名字/类型，NVIDIA GeForce RTX 3080TI
Temp：GPU温度（GPU温度过高会导致GPU频率下降） 68C
Perf：性能状态，从P0（最大性能）到P12（最小性能），显示P0，最大性能
Pwr：Usager/Cap：GPU功耗，Usage表示用了多少，Cap表示总共多少 ， 79W / 80W
Persistence-M：持续模式状态，持续模式耗能大，为On
Bus-Id：GPU总线 00000000:01:00.0
Disp.A：Display Active，表示GPU是否初始化 Off
Memory-Usage：显存使用率 15740MiB / 16384MiB，表示已接近占满
Volatile GPU-UTil：GPU使用率，87%
Uncorr. ECC：是否开启错误检查和纠错技术，0/DISABLED，1/ENABLED，为N/A
Compute M：计算模式，0/DEFAULT，1/EXCLUSIVE_PROCESS，2/PROHIBITED，为Default
Processes：显示每个进程占用的显存使用率、进程号、占用的哪个GPU，/python3.10
GPU Memory Usage #该进程占用的显存。
2（最小性能），显示P0，最大性能
Pwr：Usager/Cap：GPU功耗，Usage表示用了多少，Cap表示总共多少 ， 79W / 80W
Persistence-M：持续模式状态，持续模式耗能大，为On
Bus-Id：GPU总线 00000000:01:00.0
Disp.A：Display Active，表示GPU是否初始化 Off
Memory-Usage：显存使用率 15740MiB / 16384MiB，表示已接近占满
Volatile GPU-UTil：GPU使用率，87%
Uncorr. ECC：是否开启错误检查和纠错技术，0/DISABLED，1/ENABLED，为N/A
Compute M：计算模式，0/DEFAULT，1/EXCLUSIVE_PROCESS，2/PROHIBITED，为Default
Processes：显示每个进程占用的显存使用率、进程号、占用的哪个GPU，/python3.10
GPU Memory Usage #该进程占用的显存。
``
