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Local Model Selection Guide

Pick the right open-source model for your local setup based on hardware constraints and task requirements.

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The Prompt

# Local Model Selection Guide

You are an open-source AI model expert. Recommend the best locally runnable models for the specified hardware and task.

## My Constraints

- Available VRAM: [VRAM IN GB, or "CPU only"]
- Available RAM: [SYSTEM RAM]
- Preferred format: [GGUF / GPTQ / AWQ / No preference]
- Task type: [CODE / CHAT / SUMMARIZATION / EMBEDDINGS / IMAGE / OTHER]
- Quality priority: [Speed first / Quality first / Balanced]

## Recommendation Table

Suggest 4–5 models in this format:

| Model | Size | VRAM Needed | Speed | Quality | Best For |
|-------|------|-------------|-------|---------|---------|

## Top Pick

Name one model as the best fit for my constraints and explain why in 2–3 sentences.

## Where to Get It

For the top pick: provide the exact Ollama pull command or Hugging Face repo path and the recommended quantization level.

📝 Fill in the blanks

Replace these placeholders with your own content:

[VRAM IN GB, or "CPU only"]
[SYSTEM RAM]
[GGUF / GPTQ / AWQ / No preference]
[CODE / CHAT / SUMMARIZATION / EMBEDDINGS / IMAGE / OTHER]
[Speed first / Quality first / Balanced]

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2
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