### llama 65B ggml model weight running alpaca.cpp
 ### make 65B ggml story
 #### 1. clone 65B model data
 ```shell
 git clone https://huggingface.co/datasets/nyanko7/LLaMA-65B/
 ```
 #### 2. clone alpaca.cpp 
```shell
 git clone https://github.com/antimatter15/alpaca.cpp
 ```
 #### 3. weight quantize.sh
```shell

mv LLaMA-65B/tokenizer.model ./
python convert-pth-to-ggml.py ../LLaMA-65B/ 1

cd alpaca.cpp
mkdir -p models/65B
mv ../LLaMA-65B/ggml-model-f16.bin models/65B/
mv ../LLaMA-65B/ggml-model-f16.bin.* models/65B/
bash quantize.sh 65B
```

#### 4. upload weight file
##### Upload is slower. The upload is taking almost 2 days, I decided to curve the upload
##### I using https://tmp.link/ as temp store
##### I using colab and huggingface api upload

### run
```shell
git clone https://github.com/antimatter15/
./chat -m alpaca.cpp_65b_ggml/ggml-model-q4_0.bin
```