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replit
ReplitLM
Python2023–2023
replit / ReplitLM · Archived

ReplitLM

Inference code and configs for the ReplitLM model family

2Distinct people
2Mentions
0Explicit recommenders
1.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Inference code and configs for the ReplitLM model family

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2023-05-03 03:42:24 UTC to 2023-05-03 15:38:25 UTC.

012023-05-03 03:00:00 UTC to 2023-05-03 04:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 3, 03:002023-05-03 04:00:00 UTC to 2023-05-03 05:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 05:00:00 UTC to 2023-05-03 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 06:00:00 UTC to 2023-05-03 07:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 07:00:00 UTC to 2023-05-03 08:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 08:00:00 UTC to 2023-05-03 09:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 09:00:00 UTC to 2023-05-03 10:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 3, 09:002023-05-03 10:00:00 UTC to 2023-05-03 11:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 11:00:00 UTC to 2023-05-03 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 12:00:00 UTC to 2023-05-03 13:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 13:00:00 UTC to 2023-05-03 14:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 14:00:00 UTC to 2023-05-03 15:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-03 15:00:00 UTC to 2023-05-03 16:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 3, 15:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
May 3, 03:002023-05-03 03:00:00 UTC2023-05-03 04:00:00 UTC110
May 3, 04:002023-05-03 04:00:00 UTC2023-05-03 05:00:00 UTC000
May 3, 05:002023-05-03 05:00:00 UTC2023-05-03 06:00:00 UTC000
May 3, 06:002023-05-03 06:00:00 UTC2023-05-03 07:00:00 UTC000
May 3, 07:002023-05-03 07:00:00 UTC2023-05-03 08:00:00 UTC000
May 3, 08:002023-05-03 08:00:00 UTC2023-05-03 09:00:00 UTC000
May 3, 09:002023-05-03 09:00:00 UTC2023-05-03 10:00:00 UTC000
May 3, 10:002023-05-03 10:00:00 UTC2023-05-03 11:00:00 UTC000
May 3, 11:002023-05-03 11:00:00 UTC2023-05-03 12:00:00 UTC000
May 3, 12:002023-05-03 12:00:00 UTC2023-05-03 13:00:00 UTC000
May 3, 13:002023-05-03 13:00:00 UTC2023-05-03 14:00:00 UTC000
May 3, 14:002023-05-03 14:00:00 UTC2023-05-03 15:00:00 UTC000
May 3, 15:002023-05-03 15:00:00 UTC2023-05-03 16:00:00 UTC101

What Hacker News says

2 sources
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 project 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 at language tasks and reasoning (in some cases much better than much larger general-purpose models). 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 chatbot (at least one focused on code) by finetuning it on conversation (and/or instruction) datasets. Will follow up with a more com
Read the rest
prehensive technical report and the UL2R version (fill-in-the-middle support).
In Replit's new Code LLM: Open Source, 77% smaller than Codex, trained in 1 week

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