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实时 11:16:41
English(EN) 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

Gemma 4:12b-it-qat模型在配备NVIDIA 4070的联想笔记本电脑上达到每秒13个token

一位用户报告称,Gemma 4:12b-it-qat模型在配备NVIDIA 4070 GPU和8 GB显存的联想笔记本电脑上运行速度约为每秒13个token。对于本地AI应用来说,这一性能被认为是可接受的,代表了在相同硬件上相比之前能力较弱模型的改进。用户还提到了Ollama的云模型很有用,特别是其每月20美元的套餐尚未达到使用限制。 AI

影响 展示了在消费级硬件上本地运行强大LLM的可行性日益增强。

排序理由 用户关于消费级硬件上本地模型性能的报告。

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  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…