What are the hardware requirements for Tini Cybersec 8B A1B?

Tini Cybersec 8B A1B requires approximately 16.9 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tini Cybersec 8B A1B and how large is it?

Tini Cybersec 8B A1B is developed by iselabvn, a model with 8b 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 Tini Cybersec 8B A1B?

Tini Cybersec 8B A1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tini Cybersec 8B A1B by iselabvn — VRAM 16.9GB, 125K context

Name: Tini Cybersec 8B A1B
Author: iselabvn

Tini Cybersec 8B A1B is an open-source language model by iselabvn. Features: 8b LLM, VRAM: 16.9GB, Context: 125K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-8b-... Conversational Cot Cybersecurity Dataset:alicankiraz0/cybersecu... Dataset:alicankiraz0/cybersecu... Dataset:jackrong/deepseek-v4-d... Dataset:jackrong/qwen3.5-reaso... Dataset:nohurry/opus-4.6-reaso... Dataset:trendyol/trendyol-cybe... En Instruct Lfm Lfm2 moe Liquid-foundation-model Reasoning Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/iselabvn/Tini-Cybersec-8B-A1B

Tini Cybersec 8B A1B Parameters and Internals

LLM Name	Tini Cybersec 8B A1B
Repository 🤗	https://huggingface.co/iselabvn/Tini-Cybersec-8B-A1B
Model Name	LiquidAI/LFM2.5-8B-A1B
Base Model(s)	LiquidAI/LFM2.5-8B-A1B LiquidAI/LFM2.5-8B-A1B
Model Size	8b
Required VRAM	16.9 GB
Updated	2026-07-01
Maintainer	iselabvn
Model Type	lfm2_moe
Instruction-Based	Yes
Model Files	16.9 GB
Supported Languages	en
Model Architecture	Lfm2MoeForCausalLM
License	apache-2.0
Context Length	128000
Model Max Length	128000
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000
Torch Data Type	bfloat16

Rank the Tini Cybersec 8B A1B 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 Tini Cybersec 8B A1B

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 8B A1B Opus Distil	125K / 16.9 GB	2127	5
Supertron2.1 8B A1B	125K / 17 GB	96	6
... IQ1C Qwen3.6 35B A3B DISTILL2	125K / 16.7 GB	111	3
Supertron 2.1 8B A1B	125K / 17 GB	49	6
...m IQ1C Qwen3.6 35B A3B DISTILL	125K / 16.7 GB	72	0
Tema Q X4 8B	125K / 16.7 GB	9	1

Note: green Score (e.g. "73.2") means that the model is better than iselabvn/Tini-Cybersec-8B-A1B.