What are the hardware requirements for 5?

5 requires approximately 8.9 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 5 and how large is it?

5 is developed by lilmeaty, a model with 4.5b 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 5?

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

5 by lilmeaty — VRAM 8.9GB, 128K context

Name: 5
Author: lilmeaty

5 is an open-source language model by lilmeaty. Features: 4.5b LLM, VRAM: 8.9GB, Context: 128K, Merged, LLM Explorer Score: 0.15.

Merged Model Base model:finetune:lilmeaty/4 Base model:lilmeaty/4 Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lilmeaty/5

5 Parameters and Internals

LLM Name	5
Repository 🤗	https://huggingface.co/lilmeaty/5
Base Model(s)	lilmeaty/4 lilmeaty/4
Merged Model	Yes
Model Size	4.5b
Required VRAM	8.9 GB
Updated	2026-06-04
Maintainer	lilmeaty
Model Type	mistral
Model Files	5.0 GB: 1-of-2 3.9 GB: 2-of-2
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.1
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the 5 capabilities

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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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