Instructions to use carefood/agent1-health-analysis-8b-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use carefood/agent1-health-analysis-8b-gguf with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf carefood/agent1-health-analysis-8b-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf carefood/agent1-health-analysis-8b-gguf:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf carefood/agent1-health-analysis-8b-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf carefood/agent1-health-analysis-8b-gguf:Q8_0

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf carefood/agent1-health-analysis-8b-gguf:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf carefood/agent1-health-analysis-8b-gguf:Q8_0

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf carefood/agent1-health-analysis-8b-gguf:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf carefood/agent1-health-analysis-8b-gguf:Q8_0

Use Docker

docker model run hf.co/carefood/agent1-health-analysis-8b-gguf:Q8_0

LM Studio
Jan
Ollama
How to use carefood/agent1-health-analysis-8b-gguf with Ollama:
```
ollama run hf.co/carefood/agent1-health-analysis-8b-gguf:Q8_0
```

Unsloth Studio

How to use carefood/agent1-health-analysis-8b-gguf with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for carefood/agent1-health-analysis-8b-gguf to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for carefood/agent1-health-analysis-8b-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for carefood/agent1-health-analysis-8b-gguf to start chatting

Docker Model Runner
How to use carefood/agent1-health-analysis-8b-gguf with Docker Model Runner:
```
docker model run hf.co/carefood/agent1-health-analysis-8b-gguf:Q8_0
```

Lemonade

How to use carefood/agent1-health-analysis-8b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull carefood/agent1-health-analysis-8b-gguf:Q8_0

Run and chat with the model

lemonade run user.agent1-health-analysis-8b-gguf-Q8_0

List all available models

lemonade list

Atomic Chat

Health Analysis Agent (GGUF)

모델 설명

건강 설문조사 결과를 분석하여 사용자의 건강 상태를 평가하는 전문 AI

주요 기능: 설문조사 → 건강상태 분석

기술 세부사항

Base Model: MLP-KTLim/llama-3-Korean-Bllossom-8B
Fine-tuning Method: LoRA (Low-Rank Adaptation)
Quantization: 8-bit during training
Format: GGUF
Language: Korean (한국어)

사용 방법

GGUF 버전

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("carefood/agent1-health-analysis-8bgguf")
model = AutoModelForCausalLM.from_pretrained("carefood/agent1-health-analysis-8bgguf")

# 사용 예시
prompt = "설문조사 결과를 분석해주세요..."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=512)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)

훈련 데이터

한국인 건강 설문조사 데이터
질병별 영양 정보
식재료 추천 데이터

제한사항

의료진의 전문적 진단을 대체하지 않습니다
참고용 정보로만 활용해주세요
심각한 건강 문제는 반드시 의료진과 상담하세요

개발자

Organization: carefood
Contact: GitHub Issues

이 모델은 건강 관리 보조 목적으로만 사용해주세요.

Downloads last month: 106

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

8-bit

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Model tree for carefood/agent1-health-analysis-8b-gguf

Base model

meta-llama/Meta-Llama-3-8B

Finetuned

MLP-KTLim/llama-3-Korean-Bllossom-8B

Quantized

(62)

this model