Local LLM (small models) prompts

Short, strict prompts tuned for small 1B-9B local models running in Ollama or LM Studio.

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Local LLM (small models)

Small-model friendly summariser

Tuned for 3B-9B local models (Gemma 4 E4B, Qwen3.5 9B, Llama 3.2 3B)

Variables: text

Summarise the text below.

Rules:
- Exactly 5 bullet points.
- Each bullet is one sentence, under 20 words.
- Only use facts from the text.

Text:
"""
{{text}}
"""

Summary:

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Local LLM (small models)

Structured JSON extraction (small models)

Use Ollama's format/JSON-schema option for reliability

Variables: text

Extract the fields below from the text. Reply with JSON only, no explanation.

Fields:
- name (string)
- email (string or null)
- company (string or null)
- request (string, max 15 words)

Example output:
{"name": "Sam Lee", "email": "[email protected]", "company": null, "request": "wants a quote for 20 licences"}

Text:
"""
{{text}}
"""

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Local LLM (small models)

Classify into fixed labels

Reliable on 1B-4B models with temperature 0

Variables: labelsmessage

Classify the message into exactly one label.

Labels: {{labels}}

Reply with the label only.

Message: {{message}}
Label:

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Local LLM (small models)

Local RAG answer prompt

For chat models in a local RAG pipeline

Variables: retrieved_chunksquestion

Use the context to answer the question. If the answer is not in the context, say "I don't know based on these documents."
Quote the sentence you used in "quotes".

Context:
{{retrieved_chunks}}

Question: {{question}}

Answer:

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Local LLM (small models)

Code explainer for small coder models

Qwen2.5-Coder 7B, Devstral, Qwen3-Coder

Variables: languagecode

Explain what this {{language}} function does.

```{{language}}
{{code}}
```

Answer in this format:
Purpose: (one sentence)
Inputs: (list)
Output: (one sentence)
Steps: (numbered, max 6)
Possible bugs: (list, or "none spotted")

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Local LLM (small models)

Commit message from diff (tiny model)

Works on 1.5B-3B coder models; pipe `git diff --staged` in

Variables: diff

Write a git commit message for this diff.
Format: one line, imperative mood, max 60 characters. Then a blank line and up to 3 bullet points.
Do not mention files that are not in the diff.

{{diff}}

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Local LLM (small models)

Offline email triage

7B+ local model; keeps your inbox private

Variables: emails

For each email below, output one line: <number> | <urgent/normal/low> | <reply needed: yes/no> | <one-line summary>.

Urgent = needs action today, from a real person, about money, deadlines or problems.

Emails:
{{emails}}

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Local LLM (small models)

Few-shot style mimic (small models)

Give 2-3 examples; small models copy patterns well

Variables: output_typeexample_1example_2topic

Write a {{output_type}} in the same style as the examples.

Example 1:
{{example_1}}

Example 2:
{{example_2}}

Now write one about: {{topic}}

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Local LLM (small models) prompts

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