C++ implementation of LLMs for efficient inference on consumer CPUs and GPUs.
Motori di inferenza
The runtimes that run local models on your hardware: Ollama for simplicity, llama.cpp for portability, vLLM for production throughput. The engines in the catalog are the child resources.
Features
- CPU, CUDA, ROCm, Metal, NPU support
- GGUF and AWQ quantization
- Local OpenAI-compatible API
Resources by Motori di inferenza
Sintesi vocale in locale a bassa latenza basata su ONNX: genera parlato naturale da testo in tempo quasi reale, anche su CPU. Multilingue (italiano incluso) e facile da integrare nei pipeline: download del modello, una riga di comando. MIT.
High-throughput LLM serving with PagedAttention and hardware optimizations.
Il port C/C++ ad alte prestazioni di Whisper: trascrizione vocale in locale ottimizzata per CPU e Apple Silicon, senza dipendenze da Python. Quantizzazione GGML (Q4_0–Q8_0) con riduzione fino al 65% a disco, streaming via whisper-stream, accelerazione Metal/Vulkan. MIT.
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Discover Motori di inferenza
Visit the official site to download, learn more and start using Motori di inferenza.
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