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colibri alternatives

Curated alternatives to colibri — and why you'd switch.

airllm

Layer-by-layer inference that runs 70B models on a 4GB GPU — no quantization required; 405B on 8GB, DeepSeek-V3 671B on ~12GB. One AutoModel line for most open model families.

Why switchSame job — giant models on tiny hardware — opposite technique: AirLLM streams dense layers through a 4GB GPU from Python/HF, colibrì streams MoE experts from NVMe in pure C with a workload-learning pin cache.
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Ollama

Run Llama, Mistral and other open models locally with a single command and a clean API.

Why switchBoth run open models locally. Ollama is the multi-model daily driver for models that fit; colibrì is a single-model specialist that makes a 744B MoE fit where nothing else will.
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mesh-llm

Distributed LLM inference in Rust: pool GPUs across machines into one OpenAI-compatible endpoint — local fit first, mesh routing, and stage splits for models too large for any single box.

Why switchBoth attack 'model bigger than your box': mesh-llm scales OUT by pooling GPUs across machines into one endpoint, colibrì scales DOWN by deepening one machine's memory hierarchy to disk.
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