和chatgpt一样的大模型LLaMA可以运行在pc上？

$ git clone https://github.com/ggerganov/llama.cpp
$ cd llama.cpp
$ docker pull ubuntu
$ sudo docker run -it -d -v ~/Desktop:/workspace --name llama imageid
$ sudo docker exec -it llama bash
$ apt install build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget libbz2-dev cmake python3.10 vim gcc 
$ apt install cmake python3.10 vim gcc python3-pip

# 下载模型 7B model/13B model/30B model/ 65B model bittorrennt(种子)
aria2c --select-file 21-23,25,26 'magnet:?xt=urn:btih:b8287ebfa04f879b048d4d4404108cf3e8014352&dn=LLaMA'

下载到models路径下
$ ls ./models
13B
30B
65B
7B
llama.sh
tokenizer.model
tokenizer_checklist.chk

$ pip3 install torch numpy sentencepiece -i https://pypi.tuna.tsinghua.edu.cn/simple

$ python convert-pth-to-ggml.py models/7B/ 1
$ make
$ ./quantize ./models/7B/ggml-model-f16.bin ./models/7B/ggml-model-q4_0.bin 2

$ ./quantize ./models/13B/ggml-model-f16.bin ./models/13B/ggml-model-q4_0.bin 2
# 这将生成型号/7B/ggml-model-q4_0.bin-3.9GB文件。这是我们将用于运行模型的文件。

# 创建了ggml-model-q4_0.bin文件后，我们现在可以运行该模型了。
$ ./main -m ./models/7B/ggml-model-q4_0.bin \
  -t 8 \
  -n 128 \
  -p 'The first man on the moon was '
# ./main --help shows the options. -m is the model. -t is the number of threads to use. -n is the number of tokens to generate. -p is the prompt.

$ usage: ./main [options]

options:
  -h, --help            show this help message and exit
  -s SEED, --seed SEED  RNG seed (default: -1)
  -t N, --threads N     number of threads to use during computation (default: 4)
  -p PROMPT, --prompt PROMPT
                        prompt to start generation with (default: random)
  -n N, --n_predict N   number of tokens to predict (default: 128)
  --top_k N             top-k sampling (default: 40)
  --top_p N             top-p sampling (default: 0.9)
  --temp N              temperature (default: 0.8)
  -b N, --batch_size N  batch size for prompt processing (default: 8)
  -m FNAME, --model FNAME
                        model path (default: models/llama-7B/ggml-model.bin)

def open_and_return_content(filename):
    """
    Opens file (returning the content) and performs basic sanity checks
    """
    if os.path.isfile(filename):
        with open(filename) as f:
            content = f.read()
            return content
    else:
        print('WARNING: file "{}" does not exist'.format(filename), file=sys.stderr)
        return ''

def get_file_info(filename, fullpath):
    """
    Get file information (i.e., permission, owner, group, size)
    """

154B checklist.chk
12G consolidated.00.pth
12G consolidated.01.pth
101B params.json

$ convert-pth-to-ggml.py models/13B/ 1

12G ggml-model-f16.bin
12G ggml-model-f16.bin.1

$ ./quantize ./models/13B/ggml-model-f16.bin   ./models/13B/ggml-model-q4_0.bin 2
$ ./quantize ./models/13B/ggml-model-f16.bin.1 ./models/13B/ggml-model-q4_0.bin.1 2

./main \
  -m ./models/13B/ggml-model-q4_0.bin \
  -t 8 \
  -n 128 \
  -p 'Some good pun names for a coffee shop run by beavers:-'