What are the hardware requirements for Mamba Python?

Mamba Python requires approximately 2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mamba Python and how large is it?

Mamba Python is developed by pt-sk. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

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

Name: Mamba Python
Author: pt-sk

Mamba Python is an open-source language model by pt-sk. Features: LLM, VRAM: 2GB, License: mit, Instruction-Based, LLM Explorer Score: 0.13.

Additional Notes

Implementation for Python

LLM Name	Mamba Python
Repository 🤗	https://huggingface.co/pt-sk/mamba_python
Required VRAM	2 GB
Updated	2024-12-30
Maintainer	pt-sk
Instruction-Based	Yes
Model Files	2.0 GB 2.0 GB 2.0 GB 2.0 GB 2.0 GB 2.0 GB 2.0 GB 2.0 GB 2.0 GB 2.0 GB 2.0 GB
Model Architecture	AutoModel
License	mit
Vocabulary Size	50277

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	Context / RAM	Downloads	Likes
...l 8x7B Instruct V0.1 Llamafile	0K / GB	7076	18
Autotrain Umberto Proclama	0K / 0.9 GB	5	0
...l 8x7B Instruct V0.1 Llamafile	0K / GB	3180	18
...hi 3 Mini 4K Instruct Ct2 Int8	0K / 3.8 GB	8	1
CSUMLM	0K / GB	13	1
...hin 2.5 Mixtral 8x7b Llamafile	0K / GB	117	4
Instruct GPT J	0K / 0 GB	0	26
Vigogne Bloom 7b1 Instruct	0K / 0.1 GB	0	4
...a Instruction Fine Tune French	0K / 0 GB	0	4
MiniMaid L3	0K / 0 GB	9	2

Note: green Score (e.g. "73.2") means that the model is better than pt-sk/mamba_python.