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Articles, guides, and insights on local artificial intelligence
7 articles found per "benchmark"
Yzma: embeddings up to 2.6x faster than Ollama, the comparison
Yzma calls llama.cpp in the same process: no server, no round trip. It is 2.6x faster than Ollama on embeddings — with the numbers, the math and the setup.
ML Drift: Google's open-source on-device GPU engine, and when it beats the generalists
The engine that runs models inside Chrome and YouTube is now open source: architecture, benchmark numbers, and an honest comparison with Ollama and llama.cpp.
Nemotron 3.5 Bolt: NVIDIA's 74B MoE with ~9B active — what changes on your desktop
74B parameters, 9B active: NVIDIA's MoE for local agents fits 24GB of VRAM via IQ2 quantization. Real VRAM, declared benchmarks and honest limits.
Local text-to-SQL: query your business database without sending data to the cloud
A local model, the schema to the model, execution on your database: text-to-SQL in-house, ARCS benchmark numbers, and where it really breaks.
Ollama vs llama.cpp: under the hood
Ollama runs llama.cpp under the hood, but the two are not the same thing: one is the engine, the other the car. What's really underneath, when the difference matters, and how to choose without slogans.
Italian in local models: what to expect
How many local models actually handle Italian well? The vendor numbers, where they fail, and the half-hour method to measure them yourself.
How to Read a Model's Spec Sheet: Family, Size, Context
A guide to reading a model's specs: family, total and active size, context window, quantization, benchmarks and license, with a worked example on DeepSeek V4.1 Flash.