mation-spec VS ReplitLM

Hi, I've created an application where you can follow step by step origami fold instructions, and a Creator where you can make these interactive folds.

On comparing to video instructions, you have the ability to quickly skip/rewind steps and replay a complicated step many times.

On the creation side, there have been one or two attempts at this before, but those solutions rely on mouse drags as the user interface. This greatly limited the kinds of folds possible. The foldMation Creator uses commands, keywords and values to compose a domain specific language/step and provides a (relatively speaking) easy to use user interface to compose the steps.

For those interested in using the Creator, please go through the tutorial at the top of the create page.

Btw, the DSL for foldMation uses https://github.com/mationai/mation-spec. I created it since I couldn't find anything out there that is similar, allowing me to specify a well structured data with English-like readable syntax.

Let me know what you think?

The DSL for foldMation uses https://github.com/mationai/mation-spec . I created it since I couldn't find anything out there that is similar, allowing me to specify a well structured data with English-like readable syntax.

Ohm is a wonderful tool. I used it to create mation-spec [0], a readable structured configuration and specification format to automate and run code. I look hard trying to find something like it before giving up and creating one myself with the help of Ohm. The mation-spec is the basis of an origami fold simulation language to describe and simulate origami folds. PM me if you like to see it before I post the simulator on HN.

[0] https://github.com/mationai/mation-spec

Have you thought of finding or creating something like this [0]?

I created this as the basis for my origami folding descriptive language. I tried to find something similar, requirements being both well structured and English-like but couldn't find any, so I created it.

The origami folding app will hopefully be out in 2 weeks, so you can see how it's used.

[0] https://github.com/fuzzthink/mation-spec

Replit’s new 2.7B params code LLM, ReplitLM is now open-source. It outperformed Codex and LLaMA despite being smaller in size [GitHub | Hugging Face Demo].

Some links:

- Repo: https://github.com/replit/ReplitLM/tree/main/replit-code-v1-...

- HuggingFace: https://huggingface.co/replit/replit-code-v1-3b

- Demo: https://huggingface.co/spaces/replit/replit-code-v1-3b-demo

- Early benchmark results: https://twitter.com/amasad/status/1651019556423598081

A lot about this was surprising. We knew it was going to be good, but didn't expect to be this good -- especially surprising was the finetuned performance boost and the fact that the model is decent (in some cases much better than much larger language models) at language tasks and reasoning.

It feels like there is a lot more to do with this model, and I have a suspicion you can even make a half-decent chat bot (at least one focused on code) by finetuning.

Will follow up with the UL2R version (fill-in-the-middle support).