Data & Research · GitHub ·5 ★

MambaRALM

Analyzing the performance of Mamba-based vs. Transformer-based Retrieval Augmented Language Models over increasing k number of chunks retrieved.

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Details

Author
alpinedev51
Category
Data & Research
Platform
GitHub
Framework
custom
Language
tex
Stars
5
First indexed
2026-05-15
Last active
2024-10-20
Directory sync
2026-05-15
@alpinedev51

Overview

Analyzing the performance of Mamba-based vs. Transformer-based Retrieval Augmented Language Models over increasing k number of chunks retrieved.

Quick start

git

git clone https://github.com/alpinedev51/MambaRALM

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What MambaRALM can do

raganaly
  • Rag — Retrieves grounded context before answering.
  • Analy — analy task automation.

Frequently asked questions

What is MambaRALM?
Analyzing the performance of Mamba-based vs. Transformer-based Retrieval Augmented Language Models over increasing k number of chunks retrieved.
How do I install MambaRALM?
Use git: `git clone https://github.com/alpinedev51/MambaRALM`. Full setup details on the source page linked above.
Is MambaRALM open source?
MambaRALM is published on GitHub.
What are alternatives to MambaRALM?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for MambaRALM is sourced from GitHub, published by alpinedev51.

Last scraped: · First indexed:

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