airoboros
hydra-moe
| airoboros | hydra-moe | |
|---|---|---|
| 8 | 2 | |
| 948 | 395 | |
| - | 1.5% | |
| 8.7 | 8.4 | |
| about 2 months ago | 6 months ago | |
| Python | Python | |
| Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
airoboros
- TinyLlama project aims to pretrain a 1.1B Llama model on 3T tokens
- Airoboros: Customizable implementation of the self-instruct paper
-
airoboros (tool) overhaul
Just wanted to drop a note that I overhauled the airoboros tool not the models to have most of the prompts I've been using to build the datasets, plus a couple extras.
-
(2/2) May 2023
airoboros: using large language models to fine-tune large language models (https://github.com/jondurbin/airoboros)
-
Airoboros [7B/13B]
This is a fine-tuned LlaMa model, using completely synthetic training data created by https://github.com/jondurbin/airoboros
-
airobors-13b - 98% eval vs gpt-3.5-turbo
I used airoboros, a python tool I wrote, to generate the synthetic instruction response pairs, and included a jailbreak prompt to attempt to bypass OpenAI censorship. This is the only dataset used to fine-tune the model.
-
[P] airoboros 7b - instruction tuned on 100k synthetic instruction/responses
This is a 7b parameter, fine-tuned on 100k synthetic instruction/response pairs generated by gpt-3.5-turbo using my version of self-instruct airoboros
-
[P] airoboros: a rewrite of self-instruct/alpaca synthetic prompt generation
GitHub Repo
hydra-moe
- Hydra – Model of Experts
-
TinyLlama project aims to pretrain a 1.1B Llama model on 3T tokens
Thanks. Yes, I've seen airoboros, it aims to use a mixture of fine-tunes of the base model if I recall correctly. Not a truly pre-trained MOE, but could be useful.
Hydra, is this it? https://github.com/SkunkworksAI/hydra-moe
What are some alternatives?
WizardLM - Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoder and WizardMath
TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
llama.cpp - LLM inference in C/C++
WizardVicunaLM - LLM that combines the principles of wizardLM and vicunaLM
datablations - Scaling Data-Constrained Language Models
chain-of-thought-hub - Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
gorilla - Gorilla: An API store for LLMs
tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
DB-GPT - AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
GirlfriendGPT - Girlfriend GPT is a Python project to build your own AI girlfriend using ChatGPT4.0
prompt-engineering - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.