What are the hardware requirements for Jarvis V2.4.1?

Jarvis V2.4.1 requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Jarvis V2.4.1 and how large is it?

Jarvis V2.4.1 is developed by slendermantvb, a model with 78.8m 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 Jarvis V2.4.1?

Jarvis V2.4.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jarvis V2.4.1 by slendermantvb — VRAM 0.3GB

Name: Jarvis V2.4.1
Author: slendermantvb

Jarvis V2.4.1 is an open-source language model by slendermantvb. Features: 78.8m LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.28.

Custom-model En Es Lisp Mixture-of-experts Pytorch Region:us Safetensors Spanish Symbolic-ai

Model Card on HF 🤗: https://huggingface.co/slendermantvb/jarvis-v2.4.1

Jarvis V2.4.1 Parameters and Internals

LLM Name	Jarvis V2.4.1
Repository 🤗	https://huggingface.co/slendermantvb/jarvis-v2.4.1
Model Size	78.8m
Required VRAM	0.3 GB
Updated	2026-10-12
Maintainer	slendermantvb
Model Files	0.3 GB
Supported Languages	es en
License	apache-2.0

Rank the Jarvis V2.4.1 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