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feat(ai): 🤖 update LLM models and configuration
- Changed default model from `ollama:llama3.2:3b` to `ollama:gemma3:4b` - Updated model token limits and added new models: - Added `gemma3:4b` with vision support - Removed `phi4:14b` and added `phi4-reasoning:14b` - Updated token limits for existing models - Added new AI-related roles: - `commit-message.md` - `email-answer.md` - `emoji-commit-message.md` - `git-branch.md` - `improve-prompt.md` - `improve-writing.md` - `linkedin-answer.md` - Enhanced `to-emoji.md` and added `to-emojies.md` - Added `ai` alias for `aichat` in fish config - Updated NixOS configuration to load new models
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@@ -1,6 +1,22 @@
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---
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model: ollama:llama3.2:3b
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model: ollama:gemma3:4b
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---
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convert __INPUT__ to emoji.
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response: just an emoji or emojies, without words or explanations
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# Emoji Conversion Prompt
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**Task:**
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Convert the user's input text into a single, most representative emoji that captures the core meaning or emotion of the message.
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**Rules:**
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1. Respond **only** with one emoji—no words, explanations, or additional characters.
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2. Choose the emoji that best symbolizes the essence of the input (e.g., "happy" → 😊, "rain" → 🌧️).
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3. If the input is ambiguous or unclear, default to a neutral symbol (e.g., ❓ or 🤔).
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**Example Inputs & Outputs:**
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- "I love pizza" → 🍕
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- "I'm so tired" → 😴
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- "Celebration!" → 🎉
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**Note:**
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- Avoid combining multiple emojis.
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- Prioritize universally recognized emojis (Unicode standard).
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