Georgi Gerganov 給了在 AWS 上面用 GPU instance 跑 llama.cpp 的說明

Georgi Gerganov 寫了一篇怎麼在 AWS 上面用 GPU instance 跑 llama.cpp 的說明:「Using llama.cpp with AWS instances #4225」。

先跳到最後面的懶人套件,直接提供了 shell script 幫你弄完:

bash -c "$(curl -s"

回到開頭的部分,機器的選擇上面,他選了一台最便宜的 4 vCPU + 16GB RAM + 16GB VRAM 的機器來跑。

然後他提到了 OpenHermes-2.5-Mistral-7B 這個模型最近很紅,也許有機會看一下:

We have just 16GB VRAM to work with, so we likely want to choose a 7B model. Lately, the OpenHermes-2.5-Mistral-7B model is getting some traction so let's go with it.

用 llama.cpp 裡面的 server 跑起 API server:

./server -m models/openhermes-7b-v2.5/ggml-model-q4_k.gguf --port 8888 --host --ctx-size 10240 --parallel 4 -ngl 99 -n 512

接著就可以用 cURL 測試:

curl -s http://XXX.XXX.XXX.XXX:8888/v1/chat/completions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer no-key" \
    -d '{
        "model": "gpt-3.5-turbo",
        "messages": [
                "role": "system",
                "content": "You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests."
                "role": "user",
                "content": "Write a limerick about python exceptions"
    }' | jq


Leave a Reply

Your email address will not be published. Required fields are marked *