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togethercomputer
OpenChatKit
Python2023–2023
togethercomputer / OpenChatKit

OpenChatKit

Discover this repository through its Hacker News conversations.

11Distinct people
11Mentions
0Explicit recommenders
9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A public description has not been verified.

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, 12:24:10 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 week11 dated mentions

Observed mentions: 2023-03-12 00:45:03 UTC to 2023-05-18 22:01:45 UTC. Weeks start Monday, UTC.

0123452023-03-06 00:00:00 UTC to 2023-03-13 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 commentsMar 62023-03-13 00:00:00 UTC to 2023-03-20 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments2023-03-20 00:00:00 UTC to 2023-03-27 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2023-03-27 00:00:00 UTC to 2023-04-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-03 00:00:00 UTC to 2023-04-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-10 00:00:00 UTC to 2023-04-17 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsApr 102023-04-17 00:00:00 UTC to 2023-04-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-24 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-01 00:00:00 UTC to 2023-05-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-08 00:00:00 UTC to 2023-05-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-15 00:00:00 UTC to 2023-05-22 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 15

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
Mar 62023-03-06 00:00:00 UTC2023-03-13 00:00:00 UTC220
Mar 132023-03-13 00:00:00 UTC2023-03-20 00:00:00 UTC220
Mar 202023-03-20 00:00:00 UTC2023-03-27 00:00:00 UTC514
Mar 272023-03-27 00:00:00 UTC2023-04-03 00:00:00 UTC000
Apr 32023-04-03 00:00:00 UTC2023-04-10 00:00:00 UTC000
Apr 102023-04-10 00:00:00 UTC2023-04-17 00:00:00 UTC110
Apr 172023-04-17 00:00:00 UTC2023-04-24 00:00:00 UTC000
Apr 242023-04-24 00:00:00 UTC2023-05-01 00:00:00 UTC000
May 12023-05-01 00:00:00 UTC2023-05-08 00:00:00 UTC000
May 82023-05-08 00:00:00 UTC2023-05-15 00:00:00 UTC000
May 152023-05-15 00:00:00 UTC2023-05-22 00:00:00 UTC110

What Hacker News says

11 sources
> With no real knowledge of LLM and only recently started to understand what LLM terms mean, such as 'model, inference, LLM model, intruction set, fine tuning' whatelse do you think is required to make a took like yours? This was mee a few weeks ago. I got interested in all this when FlexGen (https://github.com/FMInference/FlexGen) was announced, which allowed to run inference using OPT model on consumer hardware. I'm an avid user of Stable Diffusion, and I wanted to see if I can have an SD equivalent of ChatGPT. Not understanding the details of hyperparameters or terminology, I basically asked ChatGPT to explain to me what these things are: Explain to someone who is a software engineer with limited knowledge of ML terms or linear algebra, what is "feed forward" and "self-attention" in the context of ML and large language models. Provi
Read the rest
de examples when possible. I did the same with all the other terms I didn't understand, like "ADAM optimizer", "gradient", etc. I relied on it very heavily and cross-referenced the answers. Looking at other people's code and just tinkering with things on my own really helped. Through the FlexGen discord I've discovered https://github.com/oobabooga/text-generation-webui where I spent days just playing around with models. This got me into the huggingface ecosystem -- their transformers library is an easy way to get started. I joined a few other discords, like LLaMA Unofficial, RWKV, Eleuther AI, Together, Hivemind and Petals. I bookmarked a bunch of resources but it's very sporadic. Here are some: - https://github.com/zphang/minimal-llama/#peft-fine-tuning-wi... - https://github.com/togethercomputer/OpenChatKit - https://www.cstroik.com/index.php/2023/02/18/finetuning-an-a... - https://github.com/huggingface/peft - https://github.com/kingoflolz/mesh-transformer-jax/blob/mast... - https://github.com/oobabooga/text-generation-webui - https://github.com/hizkifw/WebChatRWKVstic - https://github.com/ggerganov/whisper.cpp - https://github.com/qwopqwop200/GPTQ-for-LLaMa - https://github.com/oobabooga/text-generation-webui/issues/14... - https://github.com/bigscience-workshop/petals - https://github.com/alpa-projects/alpa
In Show HN: Finetune LLaMA-7B on commodity GPUs using your own text

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