AtomGPT VS ray-llm

Compare AtomGPT vs ray-llm and see what are their differences.

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AtomGPT ray-llm
1 4
189 1,181
- 6.8%
10.0 8.6
10 months ago 17 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

AtomGPT

Posts with mentions or reviews of AtomGPT. We have used some of these posts to build our list of alternatives and similar projects.

ray-llm

Posts with mentions or reviews of ray-llm. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing AtomGPT and ray-llm you can also consider the following projects:

realtime-bakllava - llama.cpp with BakLLaVA model describes what does it see

AutoGPTQ - An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

vllm - A high-throughput and memory-efficient inference and serving engine for LLMs

Cornucopia-LLaMA-Fin-Chinese - 聚宝盆(Cornucopia): 中文金融系列开源可商用大模型,并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)

chatgpt-extractive-shortener - Shortens a paragraph of text with ChatGPT, using successive rounds of word-level extractive summarization.

safe-rlhf - Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

GoLLIE - Guideline following Large Language Model for Information Extraction

HugNLP - CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.