amasad

We do let you change it; under your account setting there is a email with an edit button next to it. And it shouldn’t need to match your GitHub email.

Perhaps there is some weirdness if you’ve signed up with GitHub. Feel free to email me and we can take a look: [email protected]

We're on a budget :) trained on 128 H100-80GB GPUs for a week (200B tokens over 5 epochs, ie 1T tokens).

Tech talk here with timestamp: https://www.youtube.com/live/veShHxQYPzo?si=UlcU9j2kC-C4oWvj...

Crates is especially challenging -- the build process is very expensive on all resources (cpu, ram, and disk), and packages are very hard (impossible?) to cache. It works super well on the Pro plan.

It’s communication meant to existing users and it’s a nuanced picture worth elaborating. But if you are not an active user it’s best if you just look at our pricing page for a complete picture: https://replit.com/pricing

This is for hosting. Development remains free

Yes, in fact we recently made the free plan more powerful with non-preemptible VMs, premium networking, and package caching for everyone. And working on an AI free tier coming soon. Will likely invest more in the free plan once the abuse from unlimited hosting go away.

Also — the title is slightly misleading. Static hosting is still free, and autoscale (with scale to zero) will effectively cost next to nothing for most users. Especially new programmers get very little traffic that according to our historic data it will cost $0.2 / month.

Finally beginners who cannot afford to pay but learned enough coding can make money on the site. eg, a story earlier today: https://x.com/replit/status/1709577707435274414?s=46

the blog is slightly outdated — 3000 is out of beta and can be used now. Here is a fun game built with it: https://replit.com/@slmjkdbtl/Bean-Survivor

Is this the best you can find? not even top 10 bangers.

Interesting. This seems like a weakness of natural language understanding. If you rephrase your prompt slightly it would get it right. Try:

  // return even numbers that are also more than 10
  const arrayFilter = (array) =>

It would do the right thing. The fine-tuned version gets your prompt right so maybe it benefited from natural language data. Will look more into it.

Yes we have a robust extension system and some are already building alternatives.

Broadly finetuning is any post pretraining training. Most of the time it is used in the context of fitting a more narrow task. In our case, it was the same training objective as the pretraining but meant to be more representative of what Replit users like to code. However, we were surprised by how well it boosted overall performance. Best guess: it's a) novel data and b) the model could take even more training!!

The model is not RLHF'd or instructed. It's an inline autocomplete model so it will get confused if you talk it like you're talking to a person. Altho it is possible to finetune it this way. To get better full function completion try giving it the function definition and a descriptive docstring as a prompt.

Can't find it now but pretty sure BigCode said somewhere they explicitly looked for it and removed it. Also subjective measure does match up to the benchmark. Our finetuned model performed +50% on HumanEval and then when using it felt at least that much improved.

1- We trained on languages that are most popular on Replit. Markdown is important because you need some amount of natural language in the data, and it will act as a sort of "natural language label" for code.

2- I like how portable it is being a single small model doing a lot of languages. Single code models are an approach that models like Salesforce/Codegen did that, but I believe we beat (or get very close) to their mono models on benchmarks.

Hopefully on phones too

it is 2.7B