Instructions to use momoe5445/gemma2-handy-lora 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 momoe5445/gemma2-handy-lora 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 momoe5445/gemma2-handy-lora:Q4_K_M # Run inference directly in the terminal: llama cli -hf momoe5445/gemma2-handy-lora:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf momoe5445/gemma2-handy-lora:Q4_K_M # Run inference directly in the terminal: llama cli -hf momoe5445/gemma2-handy-lora: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 momoe5445/gemma2-handy-lora:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf momoe5445/gemma2-handy-lora: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 momoe5445/gemma2-handy-lora:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf momoe5445/gemma2-handy-lora:Q4_K_M
Use Docker
docker model run hf.co/momoe5445/gemma2-handy-lora:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use momoe5445/gemma2-handy-lora with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "momoe5445/gemma2-handy-lora" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "momoe5445/gemma2-handy-lora", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/momoe5445/gemma2-handy-lora:Q4_K_M
- Ollama
How to use momoe5445/gemma2-handy-lora with Ollama:
ollama run hf.co/momoe5445/gemma2-handy-lora:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use momoe5445/gemma2-handy-lora with Docker Model Runner:
docker model run hf.co/momoe5445/gemma2-handy-lora:Q4_K_M
- Lemonade
How to use momoe5445/gemma2-handy-lora with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull momoe5445/gemma2-handy-lora:Q4_K_M
Run and chat with the model
lemonade run user.gemma2-handy-lora-Q4_K_M
List all available models
lemonade list
- Atomic Chat
| FROM /Users/moe/gemma2-handy-finetune/models/gemma2-q4_k_m.gguf | |
| TEMPLATE """ | |
| {{- range $i, $_ := .Messages }} | |
| {{- $last := eq (len (slice $.Messages $i)) 1 }} | |
| {{- if or (eq .Role "user") (eq .Role "system") }}<start_of_turn>user | |
| {{ .Content }}<end_of_turn> | |
| {{ if $last }}<start_of_turn>model | |
| {{ end }} | |
| {{- else if eq .Role "assistant" }}<start_of_turn>model | |
| {{ .Content }}{{ if not $last }}<end_of_turn> | |
| {{ end }} | |
| {{- end }} | |
| {{- end }}""" | |
| PARAMETER temperature 0.2 | |
| PARAMETER top_p 0.5 | |
| PARAMETER num_predict 20 | |
| PARAMETER repeat_penalty 1.1 | |
| PARAMETER stop <start_of_turn> | |
| PARAMETER stop <end_of_turn> | |
| PARAMETER stop ``` | |
| PARAMETER stop ```json | |
| PARAMETER stop ```yaml | |