Quietly vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
Quietly
An offline AI IDE and local pair programmer providing on-device coding and chat with zero telemetry.
Read the full reviewAirLLM
Open-source Python library that runs very large language models on low-memory GPUs by streaming model layers one at a time.
Read the full review| Attribute | Quietly | AirLLM |
|---|---|---|
| Pricing type | From $49/mo | Free |
| Korean support | No | No |
| Platforms | Windows, macOS, Linux | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | No | Yes |
| API available | - | - |
| SDK | - | - |
| LLM-based | - | - |
| Multimodal | - | - |
| AI model | Llama, Code Llama, GLM | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | - | 33.8K |
| Vendor | IntelliBud Innovations | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
Quietly key features
- 100% offline operation (no internet connection required)
- No telemetry or data tracking
- Local RAG (Project Brain) based code context analysis
- Multiple local AI engines powered by Llama.cpp, AirLLM, etc.
- Agent-based file modification and approved execution of terminal commands
- Easy download and import of Hugging Face and GGUF models
AirLLM key features
- Reducing GPU memory usage through layer-wise model streaming
- Supporting inference of 70B-class models on a single 4GB GPU
- AutoModel interface based on Hugging Face model IDs
- 4-bit and 8-bit block-wise model compression
- Supporting CPU inference and Apple Silicon macOS
- Supporting various model families including Llama, Qwen, DeepSeek, and Mistral