PulseAugur
中
实时 12:26:45
Русский(RU) # ai Открытие дня. Модель recursivesi/flint https:// lmstudio.ai/models/recursive-f lint На моем железе выдает 20 т\с вместо 12 т\с qwen3.8-27b. По ощущениям 2

新AI模型 'recursivesi/flint' 在本地硬件上性能超越 Qwen 3.8

一款名为 "recursivesi/flint" 的新AI模型已发布,可在LM Studio上获取。早期用户报告称,该模型在本地硬件上的性能为每秒 20 个令牌 (tokens/sec),优于每秒 12 个令牌的 Qwen 3.8 27B 模型。 "recursivesi/flint" 模型被描述为在OpenCode等任务上与其它模型智能水平相当。 AI

影响 为本地AI模型部署提供了更快且智能水平相当的替代方案。

排序理由 发布一款具有性能基准的新AI模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

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

新AI模型 'recursivesi/flint' 在本地硬件上性能超越 Qwen 3.8

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
Tool
发布一款具有性能基准的新AI模型。[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
model release, product
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
1 days old
Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 Русский(RU) · [email protected] ·

    # AI Discovery of the Day. Model recursivesi/flint https://lmstudio.ai/models/recursive-flint On my hardware, it delivers 20 t/s instead of 12 t/s qwen3.8-27b. Feels like 2

    # ai Открытие дня. Модель recursivesi/flint https:// lmstudio.ai/models/recursive-f lint На моем железе выдает 20 т\с вместо 12 т\с qwen3.8-27b. По ощущениям 2 дней - такая же по умности в OpenCode. p.s. Не знаю в чем подъеб, может найду дальше