benchllama VS monitors4codegen

Compare benchllama vs monitors4codegen and see what are their differences.

benchllama

Benchmark your local LLMs. (by srikanth235)
AI Benchmark llm ollama code-completion codellama deepseek-coder gen-ai
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monitors4codegen

Code and Data artifact for NeurIPS 2023 paper - "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context". `multispy` is a lsp client library in Python intended to be used to build applications around language servers. (by microsoft)
AI ai4code Codegen Dataset huggingface-transformers language-server-client language-server-protocol code-completion Code Generation large-language-models program-synthesis neurips-2023 neurips Transformer Code Analysis Lsp lsp-client Artificial intelligence llm
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benchllama monitors4codegen
2 2
18 150
- 35.3%
8.0 7.5
3 months ago about 2 months ago
Python Python
MIT License MIT License
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.

benchllama

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

monitors4codegen

Posts with mentions or reviews of monitors4codegen. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing benchllama and monitors4codegen you can also consider the following projects:

code-llama-for-vscode - Use Code Llama with Visual Studio Code and the Continue extension. A local LLM alternative to GitHub Copilot.

magicoder - Magicoder: Source Code Is All You Need

autolabel - Label, clean and enrich text datasets with LLMs.

benchllama vs code-llama-for-vscode monitors4codegen vs magicoder monitors4codegen vs autolabel