AirLLM vs Plasticity
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 reviewPlasticity
Plasticity provides natural language processing products and APIs designed to help organizations understand unstructured data and extract information from text.
Read the full review| Attribute | AirLLM | Plasticity |
|---|---|---|
| Pricing type | Free | Free + paid (from $2/mo) |
| Korean support | No | No |
| Platforms | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon | Web, Python SDK |
| Open source | Yes | No |
| API available | - | Available |
| SDK | - | Available |
| LLM-based | - | - |
| Multimodal | - | - |
| AI model | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma | - |
| GitHub Stars | 33.8K | - |
| Vendor | Anima AI LLC | Plasticity |
| 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
Plasticity key features
- Natural language understanding API extracting entities, relationships, and context
- Queryable knowledge graph of real-world concepts and entities
- Intent parsing and human-like response generation
- Named entity recognition with accompanying metadata
- Open information extraction with nested subject-verb-object triples