Instructions to use vanpelt/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/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/summarizer:Q4_K_M # Run inference directly in the terminal: llama cli -hf vanpelt/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/summarizer:Q4_K_M # Run inference directly in the terminal: llama cli -hf vanpelt/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/summarizer:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf vanpelt/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/summarizer:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf vanpelt/summarizer:Q4_K_M
Use Docker
docker model run hf.co/vanpelt/summarizer:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use vanpelt/summarizer with Ollama:
ollama run hf.co/vanpelt/summarizer:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use vanpelt/summarizer with Docker Model Runner:
docker model run hf.co/vanpelt/summarizer:Q4_K_M
- Lemonade
How to use vanpelt/summarizer with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull vanpelt/summarizer:Q4_K_M
Run and chat with the model
lemonade run user.summarizer-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload GGUF model
Browse files- Modelfile +16 -0
- gemma3-270m-synthetic-v11-Q4_K_M-unsloth.gguf +1 -1
- model.safetensors +1 -1
Modelfile
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FROM gemma3-270m-synthetic-v11-Q4_K_M-unsloth.gguf
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TEMPLATE """{{- $systemPromptAdded := false }}
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{{- range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 }}
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"""
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PARAMETER stop "<end_of_turn>"
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PARAMETER top_k 64
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PARAMETER top_p 0.95
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FROM gemma3-270m-synthetic-v11-Q4_K_M-unsloth.gguf
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# Default system prompt (used when user doesn't provide one)
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SYSTEM """
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You are a careful assistant that outputs ONLY valid JSON matching the schema:
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{
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"summary": "<2-4 words, Title Case, no punctuation>",
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"branch": "<kebab-case, lowercase, [a-z0-9-] only, max 3 words, prefix with a category like bug/, feat/, etc.>"
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}
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Never include explanations or extra keys.
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Turn this request for code changes into:
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1) a 2-4 word summary (Title Case),
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2) a friendly git branch name (prefixed kebab-case).
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"""
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TEMPLATE """{{- $systemPromptAdded := false }}
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{{- range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 }}
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{{- end }}
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{{- end }}
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"""
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PARAMETER stop "<end_of_turn>"
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PARAMETER top_k 64
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PARAMETER top_p 0.95
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gemma3-270m-synthetic-v11-Q4_K_M-unsloth.gguf
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size 253114720
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model.safetensors
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