Instructions to use josephcawthorne/CustomerSupportLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use josephcawthorne/CustomerSupportLlama 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 josephcawthorne/CustomerSupportLlama:Q4_K_M # Run inference directly in the terminal: llama cli -hf josephcawthorne/CustomerSupportLlama:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf josephcawthorne/CustomerSupportLlama:Q4_K_M # Run inference directly in the terminal: llama cli -hf josephcawthorne/CustomerSupportLlama:Q4_K_M
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 josephcawthorne/CustomerSupportLlama:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf josephcawthorne/CustomerSupportLlama:Q4_K_M
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 josephcawthorne/CustomerSupportLlama:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf josephcawthorne/CustomerSupportLlama:Q4_K_M
Use Docker
docker model run hf.co/josephcawthorne/CustomerSupportLlama:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use josephcawthorne/CustomerSupportLlama with Ollama:
ollama run hf.co/josephcawthorne/CustomerSupportLlama:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use josephcawthorne/CustomerSupportLlama with Docker Model Runner:
docker model run hf.co/josephcawthorne/CustomerSupportLlama:Q4_K_M
- Lemonade
How to use josephcawthorne/CustomerSupportLlama with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull josephcawthorne/CustomerSupportLlama:Q4_K_M
Run and chat with the model
lemonade run user.CustomerSupportLlama-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Customer Support LLaMA 3.2 (GGUF)
This repository provides the GGUF checkpoint of a fine-tuned LLaMA-3.2-3B-Instruct, adapted for e-commerce customer support.
Use with llama.cpp or compatible apps:
llama-cli --hf-repo josephcawthorne/CustomerSupportLlama --hf-file llama-3.2-3b-it-ecommerce-chatbot-q4_k_m.gguf -p "How can I track my order?"
license: apache-2.0
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