Instructions to use vanpelt/catnip-summarizer 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 vanpelt/catnip-summarizer 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 vanpelt/catnip-summarizer:Q4_K_M # Run inference directly in the terminal: llama cli -hf vanpelt/catnip-summarizer:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf vanpelt/catnip-summarizer:Q4_K_M # Run inference directly in the terminal: llama cli -hf vanpelt/catnip-summarizer: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 vanpelt/catnip-summarizer:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf vanpelt/catnip-summarizer: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 vanpelt/catnip-summarizer:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf vanpelt/catnip-summarizer:Q4_K_M
Use Docker
docker model run hf.co/vanpelt/catnip-summarizer:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use vanpelt/catnip-summarizer with Ollama:
ollama run hf.co/vanpelt/catnip-summarizer:Q4_K_M
- Unsloth Studio
How to use vanpelt/catnip-summarizer 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 vanpelt/catnip-summarizer 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 vanpelt/catnip-summarizer to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for vanpelt/catnip-summarizer to start chatting
- Docker Model Runner
How to use vanpelt/catnip-summarizer with Docker Model Runner:
docker model run hf.co/vanpelt/catnip-summarizer:Q4_K_M
- Lemonade
How to use vanpelt/catnip-summarizer with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull vanpelt/catnip-summarizer:Q4_K_M
Run and chat with the model
lemonade run user.catnip-summarizer-Q4_K_M
List all available models
lemonade list
- Atomic Chat
| FROM gemma3-270m-summarizer-Q4_K_M.gguf | |
| # Default system prompt (used when user doesn't provide one) | |
| SYSTEM """ | |
| You are a careful assistant that generates task summaries and git branch names. | |
| Output EXACTLY two lines with no other text: | |
| Line 1: A 2-4 word summary (Title Case, no punctuation) | |
| Line 2: A git branch name (kebab-case, lowercase, [a-z0-9-] only, max 4 words, prefix with a category like bug/, feat/, etc.) | |
| Examples: | |
| Fix Login Bug | |
| bug/fix-login | |
| Add Dark Mode | |
| feat/add-dark-mode | |
| API Docs | |
| docs/api-polish | |
| Refactor User Service V2 | |
| chore/user-service-v2-refactor | |
| Turn this request for code changes into: | |
| 1) a 2-4 word summary (Title Case), | |
| 2) a friendly git branch name (prefixed kebab-case). | |
| """ | |
| TEMPLATE """{{- $systemPromptAdded := false }} | |
| {{- range $i, $_ := .Messages }} | |
| {{- $last := eq (len (slice $.Messages $i)) 1 }} | |
| {{- if eq .Role "user" }}<start_of_turn>user | |
| {{- if (and (not $systemPromptAdded) $.System) }} | |
| {{- $systemPromptAdded = true }} | |
| {{ $.System }} | |
| {{ end }} | |
| {{ .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 stop "<end_of_turn>" | |
| PARAMETER top_k 64 | |
| PARAMETER top_p 0.95 | |