Soup

Fine-tune an 8B language model efficiently on a 4 GB laptop GPU.

CategoriesAIDev

Why it made the shelf

The project is an open-source tool for fine-tuning LLMs on resource-constrained hardware, which falls under developer.

On 5 boards

Hacker News
Reddit
Uneed
Around the web
Lobsters

First seen: 2 months ago
Best score: 135 points · 28 comments

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colibriSame job
wasteSame job
Which LLM ModelSame job

Behind the tool

Who built it. How it grew.

People, backing, growth, and ownership. Every claim links to its source.

Official sitegithub.com

Source review current

Built by

Alpamys MakazhanRepository ownerPlatform record · GitHub
Amir FathiTop contributorPlatform record · GitHub
DarshTop contributorPlatform record · GitHub

Public trail

Where it showed up

4 references from 3 publishers.

First trace: Hacker News2 months ago
Strongest thread: Hacker News28 comments

01Hacker News
2 months ago
First traceStrongest discussion
Fine-tune an 8B model on a 4 GB laptop GPU
135 points · 28 commentsOpen thread on hackernews
02

3 tools

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Noema AI
Run large language models like Gemma on mobile devices efficiently via model paging.
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Run large language models like Qwen locally on Macs and iPhones with high efficiency.
Onyx

Soup

Who built it. How it grew.

Built by

Where it showed up

Fine-tune an 8B model on a 4 GB laptop GPU

Noema AI

Swiftlet

Onyx

Company trail

GitHub - MakazhanAlpamys/Soup: Fine-tune LLMs from one YAML.

Fine-tune an 8B model on a 4 GB laptop GPU

gigazine.net

Soup

Built by

Where it showed up

Fine-tune an 8B model on a 4 GB laptop GPU

More for this job

Noema AI

Swiftlet

Onyx

Company trail

GitHub - MakazhanAlpamys/Soup: Fine-tune LLMs from one YAML.

Fine-tune an 8B model on a 4 GB laptop GPU

gigazine.net