AirLLM vs winfunc
A side-by-side comparison of features, pricing, and characteristics.
AirLLM
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 reviewwinfunc
Winfunc is an autonomous security auditing tool that connects to codebases to identify vulnerabilities using formal verification and executable exploits.
Read the full review| Attribute | AirLLM | winfunc |
|---|---|---|
| Pricing type | Free | Contact for pricing |
| Korean support | No | No |
| Platforms | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon | Desktop |
| Open source | Yes | Yes |
| API available | - | - |
| SDK | - | - |
| LLM-based | - | Yes |
| Multimodal | - | - |
| AI model | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma | GPT, Claude, DeepSeek R1 |
| GitHub Stars | 33.8K | 20.5K |
| Vendor | Anima AI LLC | winfunc |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
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
winfunc key features
- Autonomous security audit with auto-generated Proof-of-Concepts
- Automated patches via Pull Requests for continuous protection
- Formal verification engine ensuring zero false positives
- Detection of business logic errors and race conditions