What are the hardware requirements for Massive?

Massive requires approximately 1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Massive and how large is it?

Massive is developed by appvoid, a model with 500m 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 Massive?

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

Massive by appvoid — VRAM 1GB, 8K context

Name: Massive
Author: appvoid

Massive is an open-source language model by appvoid. Features: 500m LLM, VRAM: 1GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.13.

Base model:finetune:h2oai/h2o-... Base model:h2oai/h2o-danube3-5... En Endpoints compatible Llama Pytorch Region:us Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/appvoid/massive

Massive Parameters and Internals

LLM Name	Massive
Repository 🤗	https://huggingface.co/appvoid/massive
Base Model(s)	H2o Danube3 500M Base h2oai/h2o-danube3-500m-base
Model Size	500m
Required VRAM	1 GB
Updated	2026-08-03
Maintainer	appvoid
Model Type	llama
Model Files	1.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.3
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Massive 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 Massive

Best Alternatives	Context / RAM	Downloads	Likes
Carbon 500M	8K / 1 GB	921	24
H2o Danube3 500M Chat	8K / 1 GB	56465	42
Acheron D	8K / 1 GB	6	0
Acheron C	8K / 1 GB	5	0
Acheron	8K / 1 GB	6	0
Text Arco	8K / 1 GB	11	0
Arco Plus	8K / 1.6 GB	9	7
Danube Reasoner	8K / 1 GB	6	0
H2o Danube3 500M Base	8K / 1 GB	653	33
Clite 500M	8K / 1 GB	5	3

Note: green Score (e.g. "73.2") means that the model is better than appvoid/massive.