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llama.cpp

Self-Hostable

Category: coding • Released 2023

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High-performance C/C++ inference engine for GGML and GGUF quantized models

Created by Georgi Gerganov, llama.cpp provides bare-metal C/C++ execution of large language models with minimal overhead. Supports Apple Metal, ARM NEON, AVX2, and CUDA with revolutionary memory quantization.

Pricing Structure & Model AccessThe local software is available under its stated license. Hardware, electricity, hosting, model APIs, and support may incur separate costs.
freeOfficial Pricing
Free Access QuotaThe software is available for local or self-hosted use under its stated license; model inference and infrastructure are separate.
Free Tier LimitsCapacity depends on local hardware, model size, configuration, and any external model or hosting provider.
Requirements & Verification
No Account Required (Instant)Verified: 2026-10-17
Source repository

Core Capabilities & Features

Bare-metal C/C++
GGUF model format
Metal & CUDA acceleration
Quantization down to 2-bit
Integrated web server
Who It's Best Suited For

Professionals, developers, and creators requiring high-reliability coding workflows.

Execution Environment

Self-hostable via Docker or local GPU (macOS, Linux, Windows).

Tags & Keywords

#c-plus-plus#open-source#gguf#performance#compiler
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