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Gemma 4:12b-it-qat model achieves 13 tokens/sec on Lenovo laptop with NVIDIA 4070

By PulseAugur Editorial · [1 sources] ·

A user reported that the Gemma 4:12b-it-qat model runs at approximately 13 tokens per second on a Lenovo laptop equipped with an NVIDIA 4070 GPU and 8 GB of VRAM. This performance is considered acceptable for local AI applications, representing an improvement over previous, less capable models on the same hardware. The user also noted the utility of Ollama's cloud models, particularly its $20 per month plan which has not yet hit usage limits. AI

IMPACT Demonstrates increasing viability of running capable LLMs locally on consumer-grade hardware.

RANK_REASON User report on local model performance on consumer hardware.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Gemma 4:12b-it-qat model achieves 13 tokens/sec on Lenovo laptop with NVIDIA 4070

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User report on local model performance on consumer hardware.
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model release
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100 days old
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Okay, so on my Lenovo laptop with Nvidia 4070 GPU, 8 GB VRAM, Gemma4:12b-it-qat runs at a good 13 tokens per second. And I can live with that. I mean, local AI

    Okay, so on my Lenovo laptop with Nvidia 4070 GPU, 8 GB VRAM, Gemma4:12b-it-qat runs at a good 13 tokens per second. And I can live with that. I mean, local AI is getting pretty good. I remember when a 9B model could barely run well on this same machine, and those models were dum…

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