发布节奏
最近 12 周每周中位浏览
最近 12 周发布时间
颜色 = 中位浏览爆款 vs 日常
爆款 = 浏览前 10%| 指标 | 爆款 | 日常 |
|---|---|---|
| 帖子 | 4 | 33 |
| 带媒体 | 50% | 24.2% |
| 回复 | 0% | 0% |
| 平均字数 | 363 | 211 |
| 中位浏览 | 7.2万 | 3,234 |
打法建议
只陈述相关性- 互动最好的时段是 04:00 前后(北京时间),中位浏览 5,173。
- 一周里 周日 的中位浏览最高。
- 形式上 带图/视频 的中位浏览更高(3,648 vs 3,234)。
- 爆款里带媒体占 50%、回复占 0%;日常分别是 24.2%、0%。
- 当前节奏约 0.7 条/天,日均浏览 3万。
内容结构
按本站分析的分类(近 120 天)还没有分类分析。
形式与语言
帖子占比- 纯文字27
- 视频6
- 图片4
回复占比 0% · 引用 43.2% · 带媒体 27%
互动最高的帖子
按浏览排序- 1
Ollama now supports Jev-like decision models all locally. Use decision models like Nimble for tasks like ticket triaging, model routing, and content moderation. ollama pull nimble Here’s Nimble playing Ollama racer through the new local /v1/systemone API by making decisions in real-time. 🏎️
- 2
.@Cloudflare's decision models are available on Ollama! Decision models allow you to classify an image, label a bug report or route a support ticket to the right team. Clef (27B): ollama pull clef Clef Flash (9B): ollama pull clef-flash
- 3
DeepSeek-V4.1-Flash is now fully rolled out and available on Ollama's cloud: - Hosted in US & Europe - Zero data retention: prompts and responses are never logged or trained on - Per-token pricing matches the DeepSeek API, including off-peak pricing - Get started with Ollama's Pro, Max, and Team plans, or pay as you go with a free account with no service fees This new model by DeepSeek is more capable, faster, and more cost effective than all prior DeepSeek models including DeepSeek-V4-Pro 🚀.
- 4
Over the last few hours, some requests to the deepseek-v4.1-flash model on Ollama were charged at an incorrect rate, leading to higher usage consumption than expected for certain users. Sorry about this. For anyone effected: - Usage (monthly, or weekly + session on previous plans) has been reset - If extra usage amounts were consumed due to this model, these extra usage amounts have been restored to your account.
- 5
Amp users can now use Ollama's cloud models with Amp's new BYOK model routing. No limits or fees for BYOK. Build remote agents, controllable from everywhere!
- 6
Excited about the new open model from @reflection_ai! More US models coming to Ollama!
- 7
.@GoogleDeepMind EmbeddingGemma 2 is now available on Ollama. Made for consumer devices and is multimodal. ollama pull embeddinggemma-2
- 8
You can now add usage credits for paid cloud models without an Ollama subscription. Add usage credits and pay as you go. https://ollama.com/settings
- 9
We’re excited to be day 0 partners for @reflection_ai’s first open-weight model! For a limited time, Beam is FREE on Ollama! In partnership with @reflection_ai this model is hosted in the US with full ZDR. It has a 1M token context window and is designed for software engineering, reasoning, and long-running agentic tasks. Run Beam on Ollama’s Cloud: ollama run beam Claude Code ollama launch claude --model beam:cloud Codex ollama launch codex --model beam:cloud OpenCode ollama launch opencode --model beam:cloud Free to use for a limited time only.
- 10
Recent model updates from the past two weeks 👇 In Ollama’s cloud ☁️: - Beam (free for a limited time!) - Muse-spark-open - MiniMax-m3.1-flash - Mistral-large-4 - DeepSeek-v4.1-flash:1017 - Clef (Decision) Local 🦙: - Bonsai-2 - EmbeddingGemma-2 - Flint - Nemotron-3.5-bolt - Nemotron-3.5-super - Phonon (Text-to-Speech) Decision models: Clef-flash, D1, D1-omni, D3, Kev, Laya, Nimble, Nimble-v3, Pplx-decider, Strands-decider, Tev1 Try any of them after downloading Ollama: ollama run <model_name>
- 11
LFM3 from @liquidai is on Ollama! Small models built to run anywhere and fine-tune on a single GPU: - Text, vision, audio, omni, and decision models - Text model fits in about 1 GB at 4-bit - 256K context window Available to run locally.
- 12
Muse Spark Open is now on Ollama. @Meta's open-weight model for coding and tool use, with a 1M-token context window. Run it on Ollama’s cloud: ollama run muse-spark-open:cloud Use with Claude Code: ollama launch claude muse-spark-open:cloud Now available to Max and Teams users, and rolling out to Pro users soon!
点赞、转发、浏览是采集那一刻的快照,不是帖子最终数据;时间为北京时间。KPI 卡片里的同比只在账号有 8 周以上数据时显示, 否则只看近 4 周。“打法建议”只说明数据里的相关性,不代表因果。
