What are the hardware requirements for SuperHeart?

SuperHeart requires approximately 16.1 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 SuperHeart and how large is it?

SuperHeart is developed by Aryanne, a model with 8b 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 SuperHeart?

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

SuperHeart by Aryanne — VRAM 16.1GB, 128K context

Name: SuperHeart
Author: Aryanne

SuperHeart is an open-source language model by Aryanne. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, Merged, LLM Explorer Score: 0.22.

Merged Model Base model:arcee-ai/llama-3.1-... Base model:dreadpoor/heart sto... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Aryanne/SuperHeart

SuperHeart Parameters and Internals

Training Details

Methodology:

task_swapping

LLM Name	SuperHeart
Repository 🤗	https://huggingface.co/Aryanne/SuperHeart
Base Model(s)	arcee-ai/Llama-3.1-SuperNova-Lite Heart Stolen 8B Model Stock arcee-ai/Llama-3.1-SuperNova-Lite DreadPoor/Heart_Stolen-8B-Model_Stock
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-25
Maintainer	Aryanne
Model Type	llama
Model Files	1.1 GB: 1-of-17 1.1 GB: 2-of-17 1.0 GB: 3-of-17 1.0 GB: 4-of-17 1.0 GB: 5-of-17 0.9 GB: 6-of-17 1.0 GB: 7-of-17 1.0 GB: 8-of-17 1.0 GB: 9-of-17 0.9 GB: 10-of-17 1.0 GB: 11-of-17 1.0 GB: 12-of-17 1.0 GB: 13-of-17 0.9 GB: 14-of-17 1.0 GB: 15-of-17 1.0 GB: 16-of-17 0.2 GB: 17-of-17
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the SuperHeart 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 SuperHeart

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

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