一些学习资料

• 最近对MLsys比较感兴趣，遂找些资料开始学习一下
  • https://fazzie-key.cool/2023/02/21/MLsys/
  • https://qiankunli.github.io/2023/12/16/llm_inference.html
  • https://dlsyscourse.org
  • https://github.com/chenzomi12/DeepLearningSystem/tree/main/04Inference
  • https://csdiy.wiki/en/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/AICS/
  • 打算假期里把以上内容都过一遍

推理系统概念

https://github.com/chenzomi12/DeepLearningSystem/tree/main/04Inference

在CPU上推理中文版LLaMA2 Chinese-LLaMA-Alpaca-2

https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/tree/main

• download
  
  .gguf 文件是通过llama_cpp后面生成的
• 借助llama.cpp在CPU上推理
  官网教程
  克隆仓库到本地
  Ubuntu20做法

git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
make

• 生成量化版模型

python3 convert.py /home/llama/alpaca/

注意替换对应的模型文件目录地址，这里有个小坑，就是在convert.py文件的load_some_model()函数中globs参数会匹配不上实际模型使用的值，这里要修改适配一下，不知道作者为什么这么设计。

def load_some_model(path: Path) -> ModelPlus:
    '''Load a model of any supported format.'''
    # Be extra-friendly and accept either a file or a directory:
    if path.is_dir():
        # Check if it's a set of safetensors files first
        globs = ["model-00001-of-*.safetensors", "model.safetensors"]
        files = [file for glob in globs for file in path.glob(glob)]
        if not files:
            # Try the PyTorch patterns too, with lower priority
            globs = ["consolidated.00.pth", "pytorch_model-001*.bin", "*.pt", "pytorch_model.bin"]
            files = [file for glob in globs for file in path.glob(glob)]
        if not files:
            raise Exception(f"Can't find model in directory {path}")
        if len(files) > 1:
            raise Exception(f"Found multiple models in {path}, not sure which to pick: {files}")
        path = files[0]

    paths = find_multifile_paths(path)
    models_plus: list[ModelPlus] = []
    for path in paths:
        print(f"Loading model file {path}")
        models_plus.append(lazy_load_file(path))

    model_plus = merge_multifile_models(models_plus)
    return model_plus

成功后这样子。

• 加载启动模型
  将Alpaca-2项目的scripts/llama-cpp/chat.sh拷贝至llama.cpp的根目录。

#!/bin/bash

# temporary script to chat with Chinese Alpaca-2 model
# usage: ./chat.sh alpaca2-ggml-model-path your-first-instruction

SYSTEM_PROMPT='You are a helpful assistant. 你是一个乐于助人的助手。'
# SYSTEM_PROMPT='You are a helpful assistant. 你是一个乐于助人的助手。请你提供专业、有逻辑、内容真实、有价值的详细回复。' # Try this one, if you prefer longer response.
MODEL_PATH=$1
FIRST_INSTRUCTION=$2

./main -m "$MODEL_PATH" \
--color -i -c 4096 -t 8 --temp 0.5 --top_k 40 --top_p 0.9 --repeat_penalty 1.1 \
--in-prefix-bos --in-prefix ' [INST] ' --in-suffix ' [/INST]' -p \
"[INST] <<SYS>>
$SYSTEM_PROMPT
<</SYS>>

$FIRST_INSTRUCTION [/INST]"

shell脚本接收两个传参，.gguf文件和’问答的句子’

chmod +x chat.sh
./chat.sh /home/llama/alpaca/ggml-model-f16.gguf 'Python是世界上最好的语言吗'

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