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[GH-ISSUE #12409] Ollama-LazyLoad #70301

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opened 2026-05-04 21:00:08 -05:00 by GiteaMirror · 1 comment
GiteaMirror commented 2026-05-04 21:00:08 -05:00
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Originally created by @codecli777 on GitHub (Sep 25, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/12409

Ollama-LazyLoad Project Proposal

In One Sentence
To make a 560 GB trillion-parameter MoE model launch, chat, and switch instantly on a 64 GB home computer — only Ollama can do it.

The Industry Watershed
Qwen3-Next has proven it: whoever masters sparse MoE, masters next-gen AI.
Yet reality hits hard — the 560 GB file size locks out 99% of potential users.
Ollama-LazyLoad turns this barrier into our home-field advantage.

The User "Wow" Factors

  • Hardware: From "unaffordable" to "ready-to-use" — 64 GB RAM is all you need.
  • Privacy: From "upload to cloud" to "stays on-device" — data never leaves your machine.
  • Cost: From "pay-per-token" to "one-time zero rent" — cloud bills reduced to zero.
  • Experience: From "single model" to "model library" — seamlessly switch between trillion or billion-parameter models, as easy as changing a song.

Ollama's Moat

  • The only framework that can run trillion-parameter models locally at full throttle.
  • Model authors prioritize Ollama for launch, creating a powerful snowball ecosystem effect.
  • Our label evolves from "easy to use" to "the only one that works" — unreplicable PR value.

"Ollama enables every gaming laptop to run trillion-parameter experts."
Leaving our competitors in the dust.

Originally created by @codecli777 on GitHub (Sep 25, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/12409 **Ollama-LazyLoad Project Proposal** **In One Sentence** To make a 560 GB trillion-parameter MoE model **launch, chat, and switch instantly** on a 64 GB home computer — only Ollama can do it. **The Industry Watershed** Qwen3-Next has proven it: **whoever masters sparse MoE, masters next-gen AI**. Yet reality hits hard — the 560 GB file size locks out 99% of potential users. Ollama-LazyLoad turns this barrier into our **home-field advantage**. **The User "Wow" Factors** * **Hardware:** From "unaffordable" to "ready-to-use" — **64 GB RAM is all you need**. * **Privacy:** From "upload to cloud" to "stays on-device" — **data never leaves your machine**. * **Cost:** From "pay-per-token" to "one-time zero rent" — **cloud bills reduced to zero**. * **Experience:** From "single model" to "model library" — **seamlessly switch between trillion or billion-parameter models, as easy as changing a song**. **Ollama's Moat** * The **only framework** that can run trillion-parameter models locally at full throttle. * Model authors prioritize Ollama for launch, creating a powerful **snowball ecosystem effect**. * Our label evolves from "easy to use" to "the only one that works" — **unreplicable PR value**. **"Ollama enables every gaming laptop to run trillion-parameter experts."** Leaving our competitors in the dust.
GiteaMirror added the feature request label 2026-05-04 21:00:08 -05:00
GiteaMirror commented 2026-05-04 21:01:15 -05:00
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@kingkingyyk commented on GitHub (Sep 30, 2025):

Sounds like a LLM generated description.

<!-- gh-comment-id:3351943164 --> @kingkingyyk commented on GitHub (Sep 30, 2025): Sounds like a LLM generated description.
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