152 lines
3.8 KiB
Markdown
152 lines
3.8 KiB
Markdown
## `docker-compose.yml`: llama.cpp CUDA server
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```yml
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services:
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gemma:
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image: ghcr.io/ggerganov/llama.cpp:server-cuda
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ports:
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- "8080:8080"
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volumes:
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- llama-cache:/root/.cache/llama.cpp
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deploy:
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resources:
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reservations:
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devices:
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- capabilities: [gpu]
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command: >
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--host 0.0.0.0
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--hf-repo bartowski/gemma-2-9b-it-GGUF
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--hf-file gemma-2-9b-it-IQ4_XS.gguf
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--gpu-layers 99
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--main-gpu 0
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volumes:
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llama-cache:
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```
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## http://localhost:8080 브라우저 접속
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- llama.cpp에서 minimal Web UI를 제공한다.
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- 첫 실행시에는 `llama-cache` 볼륨에 모델을 다운로드 받기 위해 시간이 조금 소요될 수 있다.
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## cURL test
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```bash
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sudo apt-get install -y curl jq
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curl -s \
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--request POST \
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--url http://localhost:8080/completion \
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--header "Content-Type: application/json" \
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--data '{"prompt": "Building a website can be done in 10 simple steps:","n_predict": 128}' \
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| jq
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# {"content":"\n\n**1. Define Your Purpose:**\n\n* What do you want to achieve with your website?", ... }
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```
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## Python Client
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```python
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import requests
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response = requests.post(
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'http://localhost:8080/completion',
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json={"prompt": "Building a website can be done in 10 simple steps:",
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"n_predict": 128}
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).json()
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print(response['content'])
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````
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```
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**1. Define Your Purpose:**
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* What do you want to achieve with your website? (e.g., sell products, share information, build a community)
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* Who is your target audience?
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**2. Choose a Domain Name:**
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...
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```
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## Single token prediction with probs
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```sh
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pip install requests polars
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```
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```python
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import requests
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import polars as pl
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pl.Config.set_tbl_rows(40)
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prompt = """A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
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Human: 한국의 수도는 어디인가요? 아래 선택지 중 골라주세요.
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(A) 경성
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(B) 부산
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(C) 평양
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(D) 서울
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(E) 전주
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Assistant:
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정답은 ("""
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response = requests.post(
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'http://localhost:8080/completion',
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json={"prompt": prompt,
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"temperature": -1,
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"n_predict": 1,
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"n_probs":40
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}
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).json()
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df = pl.DataFrame(response['completion_probabilities'][0]['probs'])
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print(df)
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```
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```
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shape: (40, 2)
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┌─────────┬──────────┐
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│ tok_str ┆ prob │
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│ --- ┆ --- │
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│ str ┆ f64 │
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╞═════════╪══════════╡
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│ D ┆ 0.996538 │
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│ ** ┆ 0.002495 │
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│ ** ┆ 0.000539 │
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│ C ┆ 0.000053 │
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│ B ┆ 0.000047 │
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│ A ┆ 0.000032 │
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│ D ┆ 0.000029 │
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│ **( ┆ 0.000024 │
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│ d ┆ 0.000024 │
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│ **) ┆ 0.00002 │
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│ E ┆ 0.000017 │
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│ Seoul ┆ 0.000015 │
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│ ㄷ ┆ 0.000008 │
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│ ㄹ ┆ 0.000007 │
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│ 주 ┆ 0.000006 │
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│ Д ┆ 0.000004 │
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│ **, ┆ 0.000004 │
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│ 답 ┆ 0.000004 │
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│ 디 ┆ 0.000004 │
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│ 도 ┆ 0.000004 │
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│ ㅁ ┆ 0.000003 │
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│ Ｄ ┆ 0.000003 │
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│ Answer ┆ 0.000003 │
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│ 가 ┆ 0.000003 │
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│ ) ┆ 0.000003 │
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│ ④ ┆ 0.000003 │
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│ )** ┆ 0.000003 │
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│ ד ┆ 0.000003 │
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│ **** ┆ 0.000003 │
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│ ㄱ ┆ 0.000002 │
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│ 다 ┆ 0.000002 │
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│ 을 ┆ 0.000002 │
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│ ㅇ ┆ 0.000002 │
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│ 유 ┆ 0.000002 │
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│ Korean ┆ 0.000002 │
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│ 4 ┆ 0.000002 │
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│ G ┆ 0.000002 │
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│ 이 ┆ 0.000001 │
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│ *** ┆ 0.000001 │
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│ 하 ┆ 0.000001 │
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└─────────┴──────────┘
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``` |