vllm-rocm VS AtomGPT

Compare vllm-rocm vs AtomGPT and see what are their differences.

vllm-rocm

vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs (by EmbeddedLLM)

AtomGPT

中英文预训练大模型,目标与ChatGPT的水平一致 (by AtomEcho)
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vllm-rocm AtomGPT
1 1
78 189
- -
9.9 10.0
4 days ago 10 months 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.

vllm-rocm

Posts with mentions or reviews of vllm-rocm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-10.

AtomGPT

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

What are some alternatives?

When comparing vllm-rocm and AtomGPT you can also consider the following projects:

local-llm-function-calling - A tool for generating function arguments and choosing what function to call with local LLMs

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

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

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

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

text-generation-inference - Large Language Model Text Generation Inference

GoLLIE - Guideline following Large Language Model for Information Extraction

mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

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

ray-llm - RayLLM - LLMs on Ray