What are the hardware requirements for Jiaforge Model?

Jiaforge Model requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Jiaforge Model and how large is it?

Jiaforge Model is developed by viveriveniversumvivusvici, a model with 222.9m 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 Jiaforge Model?

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

Jiaforge Model by viveriveniversumvivusvici — VRAM 0.9GB

Name: Jiaforge Model
Author: viveriveniversumvivusvici

Jiaforge Model is an open-source language model by viveriveniversumvivusvici. Features: 222.9m LLM, VRAM: 0.9GB, License: apache-2.0, LLM Explorer Score: 0.18.

Elemental-theory Region:us Safetensors T5 Team-optimization Technical-ai

Model Card on HF 🤗: https://huggingface.co/viveriveniversumvivusvici/jiaforge-model

Jiaforge Model Parameters and Internals

LLM Name	Jiaforge Model
Repository 🤗	https://huggingface.co/viveriveniversumvivusvici/jiaforge-model
Model Size	222.9m
Required VRAM	0.9 GB
Updated	2026-08-04
Maintainer	viveriveniversumvivusvici
Model Type	t5
Model Files	0.9 GB 0.0 GB
Model Architecture	T5ForConditionalGeneration
License	apache-2.0
Model Max Length	512
Transformers Version	4.36.2
Tokenizer Class	T5Tokenizer
Padding Token	<pad>
Vocabulary Size	32128
Torch Data Type	float32

Rank the Jiaforge Model 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 Jiaforge Model

Best Alternatives	Context / RAM	Downloads	Likes
T5 Base Artgen Multi Instruct	0K / 0.9 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than viveriveniversumvivusvici/jiaforge-model.