EasyLM
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
Train and evaluate large language models easily using a user-friendly codebase.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeLarge language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
EasyLM has 2.5k stars on GitHub. It has been forked 259 times. EasyLM is written mainly in Python. It has been in active development since 2022. EasyLM is available under the Apache-2.0 license. Its main topics are chatbot, deep-learning, flax, jax.
What is EasyLM?
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
Is EasyLM open source?
EasyLM is an open-source project. It is released under the Apache-2.0 license.
Is EasyLM free?
Yes. EasyLM is free and open source — you can use, modify and self-host it.
What license does EasyLM use?
EasyLM is available under the Apache-2.0 license.
What language is EasyLM written in?
EasyLM is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/young-geng-easylm.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.