llm-awq VS CodeGen

Compare llm-awq vs CodeGen and see what are their differences.

llm-awq

[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration (by mit-han-lab)

CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex. (by salesforce)
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llm-awq CodeGen
7 18
1,902 4,792
10.9% 1.4%
8.0 6.1
8 days ago 2 months ago
Python Python
MIT License 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.

llm-awq

Posts with mentions or reviews of llm-awq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-23.

CodeGen

Posts with mentions or reviews of CodeGen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-23.

What are some alternatives?

When comparing llm-awq and CodeGen you can also consider the following projects:

SqueezeLLM - [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

fauxpilot - FauxPilot - an open-source alternative to GitHub Copilot server

GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ

pifs - πfs - the data-free filesystem!

Voyager - An Open-Ended Embodied Agent with Large Language Models

FasterTransformer - Transformer related optimization, including BERT, GPT

langchain4j-examples

copilot

CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock - CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

kafka-streams-dashboards - showcases Grafana dashboards for Kafka Stream applications leveraging client JMX metrics.

cformers - SoTA Transformers with C-backend for fast inference on your CPU.