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-## How to run Alpaca.cpp on your own MacBook?
-
-
-
-The steps are as follows:
-```
-1 git clone https://github.com/antimatter15/alpaca.cpp
-
-2 cd alpaca.cpp
-
-3 make chat
-
-4 Download [ggml-alpaca-7b-q4.bin](https://huggingface.co/Sosaka/Alpaca-native-4bit-ggml/blob/main/ggml-alpaca-7b-q4.bin) and place it in the same folder as the chat executable in the file
-
-5 ./chat
-```
-
-
-The gif below is not sped up and running on an M1 MacBook Pro.
-
-
-
-
-
-Here is the text version of the Q&A
-
-```
-> Tell me about alpacas.
-Alpacas are small, domesticated animals related to camels and llamas. They live in herds on mountainous terrain throughout South America, Central Asia, and parts of the United States. Alpaca fiber is extremely soft and silky due to its fine micro-vibrations that reflect light differently than other animal fibers such as wool or cashmere. It has become increasingly popular in recent years for knitting and weaving projects because it's hypoallergenic, sustainable, and incredibly warm. Alpacas are also known to be very gentle creatures that can even live peacefully with other animals such as sheep or goats.
-> Tell me about the president of Mexico in 2019.
-In 2019, Andres Manuel Lopez Obrador was elected President of Mexico after winning a landslide victory with nearly two-thirds of the vote. He is known for his anti-corruption stance and has been credited with restoring public trust in government institutions since taking office last year.
-```
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-You can execute our model natively on your mac. Here we included detailed guidelines to facilitate implementation.
-
-### Step 1
-
-Download xxx.bin(model link)
-
-### Step 2
-
-Download a `.dmg` containing the latest version [👉 here 👈](https://llamachat.app/api/download).
-
-### Step 3
-
-Configuration Model
-
-choose Alpaca
-
-
-
-
-Name the model, choose an avatar, and select the appropriate format from the Format dropdown list: GGML format (.bin extension).
-
-Put the model you just downloaded and upload it.
-
-Set the model size to 7B
-
-
-
-
-## Step 4
-
-chat!
-
-
-
-
-### Note
-
-1 The quantization of the local model is not very good, and it is necessary to set better parameters in order to generate valid results, because a lower precision is needed to run locally.
-
-2 Each query affects each other, so in order to improve the effect, you need to click the clear button after each query.
-
-
-