How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf HaGPT/news-intelligence-chatbot:
# Run inference directly in the terminal:
llama-cli -hf HaGPT/news-intelligence-chatbot:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf HaGPT/news-intelligence-chatbot:
# Run inference directly in the terminal:
llama-cli -hf HaGPT/news-intelligence-chatbot:
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 HaGPT/news-intelligence-chatbot:
# Run inference directly in the terminal:
./llama-cli -hf HaGPT/news-intelligence-chatbot:
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 HaGPT/news-intelligence-chatbot:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf HaGPT/news-intelligence-chatbot:
Use Docker
docker model run hf.co/HaGPT/news-intelligence-chatbot:
Quick Links

🧠 News-Intelligence Chatbot β€” GGUF 버전

이 λͺ¨λΈμ€ Unslothλ₯Ό ν™œμš©ν•˜μ—¬
Colab ν™˜κ²½μ—μ„œ 직접 νŒŒμΈνŠœλ‹(finetuning) ν›„
GGUF 포맷으둜 λ³€ν™˜λœ 도메인 νŠΉν™” LLMμž…λ‹ˆλ‹€.

λ‰΄μŠ€Β·μ •μ±…Β·μ‹œμ‚¬ 뢄석에 μ΅œμ ν™”λœ Alpaca Prompt 기반 Instruction LLM으둜,
전문적인 정보λ₯Ό 깊이 있게 μ΄ν•΄ν•˜κ³  λ‹΅λ³€ν•˜λ„λ‘ νŠœλ‹λ˜μ—ˆμŠ΅λ‹ˆλ‹€.


πŸ”— GitHub Repository

πŸ‘‰ μ—¬κΈ°λ₯Ό ν΄λ¦­ν•˜λ©΄ 전체 ν”„λ‘œμ νŠΈλ‘œ μ΄λ™ν•©λ‹ˆλ‹€
(λͺ¨λΈ 파일 / ν•™μŠ΅ μ½”λ“œ / Colab λ…ΈνŠΈλΆ 포함)

πŸ“š Dataset Link


Example usage:

  • For text only LLMs: llama-cli --hf repo_id/model_name -p "why is the sky blue?"
  • For multimodal models: llama-mtmd-cli -m model_name.gguf --mmproj mmproj_file.gguf

Available Model files:

  • meta-llama-3.1-8b.Q5_K_M.gguf
  • meta-llama-3.1-8b.Q8_0.gguf
  • meta-llama-3.1-8b.Q4_K_M.gguf
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Architecture
llama
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