What are the hardware requirements for Mamba 5B?

Mamba 5B requires approximately 21.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mamba 5B and how large is it?

Mamba 5B is developed by pharaouk, a model with 5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Mamba 5B?

Mamba 5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mamba 5B by pharaouk — VRAM 21.6GB

Name: Mamba 5B
Author: pharaouk

Mamba 5B is an open-source language model by pharaouk. Features: 5b LLM, VRAM: 21.6GB, LLM Explorer Score: 0.1.

Endpoints compatible Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/pharaouk/mamba-5b

Mamba 5B Parameters and Internals

Additional Notes

********NEEDS FURTHER TRAINING************

LLM Name	Mamba 5B
Repository 🤗	https://huggingface.co/pharaouk/mamba-5b
Model Size	5b
Required VRAM	21.6 GB
Updated	2026-07-31
Maintainer	pharaouk
Model Files	21.6 GB
Model Architecture	AutoModel
Vocabulary Size	50277

Rank the Mamba 5B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Mamba 5B

Best Alternatives	Context / RAM	Downloads	Likes
Triangulum 5B GGUF	0K / 3.4 GB	78	2

Note: green Score (e.g. "73.2") means that the model is better than pharaouk/mamba-5b.