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How to Deploy Llama 3.2 7B with GGUF Quantization on a $5/Month DigitalOcean Droplet: Sub-1GB Memory Inference
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How to Deploy Llama 3.2 7B with GGUF Quantization on a $5/Month DigitalOcean Droplet: Sub-1GB Memory Inference

DEV Community·RamosAI·6 months ago
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#programming#tutorial#ai#llama#ollama
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How to Deploy Llama 3.2 7B with GGUF Quantization on a $5/Month DigitalOcean Droplet: Sub-1GB Memory Inference

Stop paying $20-30/month for managed LLM APIs when you can run production-grade inference for the price of a coffee.

I'm not exaggerating. Last week, I deployed Llama 3.2 7B with aggressive GGUF quantization on a DigitalOcean $5/month Droplet and got first-token latency under 800ms with 512MB of peak memory usage. No cold starts. No rate limits. No vendor lock-in.

If you're building AI features into your product but watching your API bills climb, or if you need guaranteed uptime without depending on third-party services, this is your playbook.…

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