What are the hardware requirements for MermaidLlama?

MermaidLlama requires approximately 16.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MermaidLlama and how large is it?

MermaidLlama is developed by TroyDoesAI, a model with 8.4b 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 MermaidLlama?

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

MermaidLlama by TroyDoesAI — VRAM 16.8GB, 4K context

Name: MermaidLlama
Author: TroyDoesAI

MermaidLlama is an open-source language model by TroyDoesAI. Features: 8.4b LLM, VRAM: 16.8GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.1.

Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TroyDoesAI/MermaidLlama

MermaidLlama Parameters and Internals

Model Type

language model, code understanding, storytelling

Use Cases

Areas:

code documentation, storyboarding, project planning, learning Python, game design

Additional Notes

MermaidLLama is designed for Python code understanding and storytelling via Mermaid Diagrams, showcasing capabilities in creating visual representations that surpass larger models like GPT-4. The model also supports collaboration for enhancement of its abilities through community involvement.

Training Details

Data Sources:

Alpaca-formatted dataset, 478 Python examples

Context Length:

4096

LLM Name	MermaidLlama
Repository 🤗	https://huggingface.co/TroyDoesAI/MermaidLlama
Model Size	8.4b
Required VRAM	16.8 GB
Updated	2026-08-06
Maintainer	TroyDoesAI
Model Type	llama
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.9 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the MermaidLlama 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

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Tiny Random Llama	0.5K / 0 GB	87	1