PulseAugur
中
实时 23:17:11
English(EN) How much does it cost to fine-tune a 70B model?

成本分析显示，微调70B模型的费用为每百万token 1-2美元

作者 PulseAugur 编辑部 · [1 个来源] ·

微调一个拥有700亿参数的模型，每百万训练token的成本在1到2美元之间，而一个2000万token的LoRA运行估计约为20美元。成本主要取决于训练的token数量和实验运行次数，GPU利用率和每小时费率也起着重要作用。LoRA、QLoRA和梯度检查点等因素会影响每个token的计算操作，从而影响总费用。虽然完全微调涉及更多的计算和内存，但与LoRA相比，成本差异不如GPU速度和每小时定价的影响显著，像Nvidia B200这样的新GPU提供了每美元最便宜的计算能力。 AI

影响 为微调大型语言模型的研究人员和开发人员提供成本规划数据。

排序理由 对大型语言模型微调的计算成本和方法进行分析。[lever_c_demoted from research: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

成本分析显示，微调70B模型的费用为每百万token 1-2美元

本文如何被排名

Signal score
40 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
对大型语言模型微调的计算成本和方法进行分析。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Viswaretas Kotra ·

    How much does it cost to fine-tune a 70B model?

    <p>Fine-tuning a 70B model costs roughly $1 to $2 of GPU time per million training tokens, or about $20 for a 20-million-token LoRA run. On Nodus the cheapest setup per token is LoRA on one B200, listed at $5.50/hr, even though one A100 80 GB is a fifth of that hourly price. Trea…

相关实体

相关话题