Update README.md

删除了llama.cpp的使用

README.md

@@ -33,42 +33,3 @@ python -m bitsandbytes
 test-unlora.py   测试微调之前推理
 fine-tuning.py   用数据集微调
 若本地运行fine-tuning.py出错，出现gcc.exe无法编译，可以尝试下载llvm-windows-x64.zip解压，在系统环境变量path路径里添加llvm下的bin路径
-三、4位量化需要安装llama.cpp，步骤如下：
-git clone https://github.com/ggerganov/llama.cpp
-cd llama.cpp
-make GGML_CUDA=1（没有gpu的linux使用make）
-
-# obtain the official LLaMA model weights and place them in ./models
-ls ./models
-llama-2-7b tokenizer_checklist.chk tokenizer.model
-# [Optional] for models using BPE tokenizers
-ls ./models
-<folder containing weights and tokenizer json> vocab.json
-# [Optional] for PyTorch .bin models like Mistral-7B
-ls ./models
-<folder containing weights and tokenizer json>
-
-# install Python dependencies
-python3 -m pip install -r requirements.txt
-
-# 转换模型为ggml FP16格式（cd ./llama.cpp)
-python convert-hf-to-gguf.py ../outputs    --outfile ./mymodel/namemv my	.gguf --outtype f16
-
-# 四位量化 (using Q4_K_M method)（cd  ./llama.cpp)
-./llama-quantize ./mymodel/ggml-model-f16.gguf ./mymodel/ggml-model-Q4_K_M.gguf Q4_K_M
-
-# update the gguf filetype to current version if older version is now unsupported
-./llama-quantize ./models/mymodel/ggml-model-Q4_K_M.gguf ./models/mymodel/ggml-model-Q4_K_M-v2.gguf COPY
-
-#直接使用模型
-./llama-cli -m ./models/mymodel/ggml-model-Q4_K_M.gguf -n 128
-
-交互模式：
-# default arguments using a 7B model
-./examples/chat.sh
-
-# advanced chat with a 13B model
-./examples/chat-13B.sh
-
-# custom arguments using a 13B model
-./llama-cli -m ./models/13B/ggml-model-q4_0.gguf -n 256 --repeat_penalty 1.0 --color -i -r "User:" -f prompts/chat-with-bob.txt