What are the hardware requirements for BananaMind 2.1 Lite All Looped AdamW?

BananaMind 2.1 Lite All Looped AdamW requires approximately 0.1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BananaMind 2.1 Lite All Looped AdamW and how large is it?

BananaMind 2.1 Lite All Looped AdamW is developed by Banaxi-Tech, a model with 25m 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 BananaMind 2.1 Lite All Looped AdamW?

BananaMind 2.1 Lite All Looped AdamW is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BananaMind 2.1 Lite All Looped AdamW by Banaxi-Tech — VRAM 0.1GB, 4K context

Name: BananaMind 2.1 Lite All Looped AdamW
Author: Banaxi-Tech

BananaMind 2.1 Lite All Looped AdamW is an open-source language model by Banaxi-Tech. Features: 25m LLM, VRAM: 0.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.35.

All-middle-looped Bananamind21 lite 25m Custom-code Custom code En N-gram Recurrent-stack Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Banaxi-Tech/BananaMind-2.1-Lite-All-Looped-AdamW

BananaMind 2.1 Lite All Looped AdamW Parameters and Internals

LLM Name	BananaMind 2.1 Lite All Looped AdamW
Repository 🤗	https://huggingface.co/Banaxi-Tech/BananaMind-2.1-Lite-All-Looped-AdamW
Model Size	25m
Required VRAM	0.1 GB
Updated	2026-09-05
Maintainer	Banaxi-Tech
Model Type	bananamind21_lite_25m
Model Files	0.1 GB 0.3 GB
Supported Languages	en
Model Architecture	BananaMind21Lite25MForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	5.16.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	8192
Torch Data Type	float32

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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

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BananaMind 2.1 Lite AdamW	4K / 0.1 GB	1875	1
BananaMind 2.1 Lite	4K / 0.1 GB	730	1