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How many derived Llama models are there for download?

大观园的贾探春 2025-02-05 20:59:18 ( reads)

我问Gemini。这是它的回答:

It's awesome you're interested in the Llama ecosystem! It's really taken off. Here's what I can tell you about derived Llama models:
 * Over 60,000 on Hugging Face: This is a huge number, and it speaks to the popularity of Llama and the drive to adapt it for specific purposes. Hugging Face is a major hub for sharing and downloading these models.
 * Constant Growth: This number is likely increasing all the time. The AI world moves fast, and new Llama-based models are probably being created and shared regularly.
What are "derived" models?
Essentially, these are Llama models that have been modified or fine-tuned from the original versions released by Meta. People do this to:
 * Improve performance: On specific tasks, like code generation or translation.
 * Reduce size: To make the model run on devices with less processing power.
 * Add features: Like specialized knowledge or the ability to understand different languages.
Where to find them:
 * Hugging Face: This is your best bet. You can search for Llama models and filter by things like task, size, and license.
 * GitHub: Many developers share their derived models on GitHub, often with code and instructions for how to use them.
 * Research papers and blogs: Keep an eye out for announcements of new models in the AI research community.
It's worth noting that the quality and capabilities of these derived models can vary widely. Some are highly polished and effective, while others might be more experimental.
If you're looking for a specific type of Llama model, it's a good idea to do some research and compare different options to find the best fit for your needs.

 

跟帖(18)

Amita

2025-02-05 21:02:45

六万?

大观园的贾探春

2025-02-05 21:04:56

是的,超过六万种还在继续增加之中,针对不同应用领域。够惊人的吧。

大观园的贾探春

2025-02-05 21:03:22

在那超过六万and growing的derived models应该很容易找到适合你的应用的,这是AI应用突飞猛进的原因

Amita

2025-02-05 21:05:30

不是迷失在大海里了吗?

大观园的贾探春

2025-02-05 21:09:30

那些做AI Consulting的应该知道那些最适合你的公司的需要。

大观园的贾探春

2025-02-05 21:14:27

这就是所谓Ecosystem厉害的地方,特别是像Llama这种开源模型,整个用户社区在不断完善及扩大其功能。

大观园的贾探春

2025-02-05 21:26:26

尽管本坛有些人经常批评小扎,但其实他是很有眼光的。在大众及媒体注意其他AI公司时,他静悄悄催生出这个ecosystem。

Feinbery

2025-02-05 21:38:25

是骂他的脸都不要了的人品,好伐?又不是骂他眼光。

成功的兔

2025-02-05 21:46:27

就事论事,不能因这ecosystem 就伟光正吧

大观园的贾探春

2025-02-05 21:56:37

一码归一码,不管他在其他方面怎样,他催生出这个ecosystem造成AI应用突飞猛进的这个成就是不能抹杀的。

大观园的贾探春

2025-02-05 22:02:55

这个Llama的ecosystem已经成型,就像Linux在OS领域。

大观园的贾探春

2025-02-05 22:10:14

Ecosystem一旦成型就像一个不断增长的有机体,他人很难与其竞争。

大观园的贾探春

2025-02-05 22:12:43

今天70-80%的Data Centers里的servers的OS是Linux。

大观园的贾探春

2025-02-05 22:15:49

Linux的ecosystem使得美国在OS长期居于领先地位。Llama的ecosystem也将使美国在AI长期居于领先

zaocha2002

2025-02-05 22:33:31

探春啊,过度使用有害无益。类似吃多了不是好事一样。

大观园的贾探春

2025-02-05 22:41:53

你们欧盟有很严格的Artificial Intelligence Act。见仁见智啦。我个人是反对对AI设限的。

大观园的贾探春

2025-02-05 22:44:51

我反对对AI设限是从竞争的角度来看。如果美国设限而美国的竞争对手不设限,美国在竞争上就会处于劣势,因此美国不应对AI设限

大观园的贾探春

2025-02-05 23:12:27

许多欧盟的公司会把AI-heavy的operations搬到英国,因为英国的AI监管要松很多。