LM Studio
Note
캐러티(Careti) 기준 문서입니다. Careti v3.38.1 머지본을 따르며, 캐러티 전용 정책(지원 로컬 런타임, 인증/라우팅, 모델 제한)이 있을 경우 본문에서 <Note>로 표시합니다.
Setting Up LM Studio with Careti
Run AI models locally using LM Studio with Careti.
Prerequisites
- Windows, macOS, or Linux computer with AVX2 support
- Careti installed in VS Code
Setup Steps
1. Install LM Studio
- Visit lmstudio.ai
- Download and install for your operating system
2. Launch LM Studio
- Open the installed application
- You'll see four tabs on the left: Chat, Developer (where you will start the server), My Models (where your downloaded models are stored), Discover (add new models)
3. Download a Model
- Browse the "Discover" page
- Select and download your preferred model
- Wait for download to complete
4. Start the Server
- Navigate to the "Developer" tab
- Toggle the server switch to "Running"
- Note: The server will run at
http://localhost:1234
5. Configure Careti
- Open VS Code
- Click Careti settings icon
- Select "LM Studio" as API provider
- Select your model from the available options
Recommended Model and Settings
For the best experience with Careti, use Qwen3 Coder 30B A3B Instruct. This model delivers strong coding performance and reliable tool use.
Critical Settings
After loading your model in the Developer tab, configure these settings:
- Context Length: Set to 262,144 (the model's maximum)
- KV Cache Quantization: Leave unchecked (critical for consistent performance)
- Flash Attention: Enable if available (improves performance)
Quantization Guide
Choose quantization based on your RAM:
- 32GB RAM: Use 4-bit quantization (~17GB download)
- 64GB RAM: Use 8-bit quantization (~32GB download) for better quality
- 128GB+ RAM: Consider full precision or larger models
Model Format
- Mac (Apple Silicon): Use MLX format for optimized performance
- Windows/Linux: Use GGUF format
Enable Compact Prompts
For optimal performance with local models, enable compact prompts in Careti settings. This reduces the prompt size by 90% while maintaining core functionality.
Navigate to Careti Settings → Features → Use Compact Prompt and toggle it on.
Important Notes
- Start LM Studio before using with Careti
- Keep LM Studio running in background
- First model download may take several minutes depending on size
- Models are stored locally after download
Troubleshooting
- If Careti can't connect to LM Studio:
- Verify LM Studio server is running (check Developer tab)
- Ensure a model is loaded
- Check your system meets hardware requirements
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