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English(EN) Company approved 128GB Mac for research proposal, best model?

用户为128GB Mac编码任务寻求最佳本地LLM

一位用户正在为其公司提供的128GB Mac寻找最佳本地大型语言模型(LLM)的推荐,用于日常编码任务。他们正在考虑Qwen 3.6 27B或可能的新版本3.8,这些模型在20-60GB范围内表现出色。用户想知道在128GB容量下这些模型是否仍然是最佳选择,或者更强大的、可能是量化的模型是否会带来改进。 AI

排序理由 这是一个用户在论坛上就个人硬件的LLM模型征求建议的帖子,并非重大的行业事件或发布。

在 r/LocalLLaMA 阅读 →

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

用户为128GB Mac编码任务寻求最佳本地LLM

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Meme
这是一个用户在论坛上就个人硬件的LLM模型征求建议的帖子,并非重大的行业事件或发布。
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
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
Standard
On-topic for AI-industry coverage; kept in the public index.
Story freshness
21 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Electronic_Back1502 ·

    公司批准128GB Mac用于研究提案,最佳模型?

    <!-- SC_OFF --><div class="md"><p>I‘m doing a research proposal at my company about running local LLMs to replace daily coding models. Qwen 3.6 27B (or 3.8 potentially) is widely seen as the best model in that 20-60GB space, is that still the case all the way up to 128, or can I …