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llama.cpp-omni

Omni inference in C/C++

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GITHUB · launched Oct 13, 2026 · 20 upvotes (top 62%)

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Could you build this?

No Building a multimodal inference engine in C/C++ means implementing model architectures, quantization, and optimized GPU/CPU kernels. That requires deep ML systems expertise.

What it would actually take: Start from the llama.cpp codebase and add audio and vision encoders plus omni-model fusion, with GGML tensor operations and custom kernels for CUDA, Metal, and CPU. A working version needs engineers who understand transformer internals, quantization formats, and performance profiling, plus model weights and testing infrastructure.

Competitors

Other products that read as similar to this one : 1775 launches clear the similarity bar, closest 8 shown.

Attention rank: #1077 of 1776 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 347 days after the earliest competitor.

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