Aug 7, 2026 · Artificial Intelligence

Run 2.8‑Trillion‑Parameter Models on a 4 GB GPU with AirLLM’s Lossless Inference

AirLLM lets ordinary 4‑GB consumer GPUs run massive LLMs such as 70B Llama and the 2.8‑trillion‑parameter Kimi K3 MoE without quantisation, by streaming model layers from disk, offering a detailed comparison with traditional low‑VRAM tricks, step‑by‑step installation, pitfalls, scenario‑based guidance and an assessment of strengths and risks.

AirLLMLLM inferenceMoE

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Run 2.8‑Trillion‑Parameter Models on a 4 GB GPU with AirLLM’s Lossless Inference

Black & White Path

Aug 2, 2026 · Artificial Intelligence

Running a 2.8‑Trillion‑Parameter K3 Model on 4 GB VRAM with AirLLM

AirLLM introduces layer‑wise inference and per‑expert streaming to decouple VRAM usage from model size, enabling the 2.8‑trillion‑parameter Kimi K3 LLM to run on a single consumer‑grade GPU while preserving full‑precision accuracy and offering security‑focused insights.

AirLLMKimi K3Large Language Models

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Running a 2.8‑Trillion‑Parameter K3 Model on 4 GB VRAM with AirLLM

AirLLM

Run 2.8‑Trillion‑Parameter Models on a 4 GB GPU with AirLLM’s Lossless Inference

Running a 2.8‑Trillion‑Parameter K3 Model on 4 GB VRAM with AirLLM

Run 2.8‑Trillion‑Parameter Models on a 4 GB GPU with AirLLM’s Lossless Inference

Running a 2.8‑Trillion‑Parameter K3 Model on 4 GB VRAM with AirLLM