What are the hardware requirements for Cyber Prime 1.1 2.6B?

Cyber Prime 1.1 2.6B requires approximately 5.4 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cyber Prime 1.1 2.6B and how large is it?

Cyber Prime 1.1 2.6B is developed by Akahsizrr, a model with 2.6b 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 Cyber Prime 1.1 2.6B?

Cyber Prime 1.1 2.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cyber Prime 1.1 2.6B by Akahsizrr — VRAM 5.4GB, 128K context

Name: Cyber Prime 1.1 2.6B
Author: Akahsizrr

Cyber Prime 1.1 2.6B is an open-source language model by Akahsizrr. Features: 2.6b LLM, VRAM: 5.4GB, Context: 128K, License: other, LLM Explorer Score: 0.32.

2.6b Base model:finetune:liquidai/l... Base model:liquidai/lfm2-2.6b Conversational Cyberbench Cybersecurity Dataset:jpmorganchase/cyberben... Dataset:secbench-hf/secbench Dataset:tihanyin/cybermetric Dataset:xuanwuai/seceval En Endpoints compatible Http-anomaly-detection Lfm2 Named-entity-recognition Phishing-detection Region:us Safetensors Sharded Tensorflow Threat-intelligence

Model Card on HF 🤗: https://huggingface.co/Akahsizrr/Cyber-Prime-1.1-2.6B

Cyber Prime 1.1 2.6B Parameters and Internals

LLM Name	Cyber Prime 1.1 2.6B
Repository 🤗	https://huggingface.co/Akahsizrr/Cyber-Prime-1.1-2.6B
Base Model(s)	LiquidAI/LFM2-2.6B LiquidAI/LFM2-2.6B
Model Size	2.6b
Required VRAM	5.4 GB
Updated	2026-10-13
Maintainer	Akahsizrr
Model Type	lfm2
Model Files	5.0 GB: 1-of-2 0.4 GB: 2-of-2
Supported Languages	en
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	128000
Torch Data Type	bfloat16

Rank the Cyber Prime 1.1 2.6B 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 Cyber Prime 1.1 2.6B

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 2.6B	128K / 5.4 GB	81522	398
LFM2.5 2.6B Heretic	128K / 5.4 GB	1460	0
Cyber Prime 1 2.6B	128K / 5.4 GB	482	25
LFM2.5 2.6B Multiharness RL	128K / 5.4 GB	286	2
LFM2.5 2.6B Opencode SFT	128K / 5.4 GB	263	1
LFM2.5 2.6B RLCD	128K / 5.4 GB	352	6
LFM2.5 2.6B Pashto Zi B	128K / 5.4 GB	293	0
Transductor High V3	128K / 5.4 GB	271	0
...fm2.5 2.6B Fable5 Coding Agent	128K / 5.4 GB	481	11
LFM 2.5 2.6B Heretic	128K / 5.4 GB	486	5

Note: green Score (e.g. "73.2") means that the model is better than Akahsizrr/Cyber-Prime-1.1-2.6B.