What are the hardware requirements for MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS?

MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS requires approximately 23.8 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS and how large is it?

MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS is developed by DavidAU, a model with 12b 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 MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS?

MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS by DavidAU — VRAM 23.8GB, 1000K context

Name: MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS
Author: DavidAU

MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS is an open-source language model by DavidAU. Features: 12b LLM, VRAM: 23.8GB, Context: 1000K, LLM Explorer Score: 0.15.

Conversational Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-MADNESS

MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS Parameters and Internals

Model Type

text generation

Additional Notes

This model includes full precision source code in 'safe tensors' format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats.

LLM Name	MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS
Repository 🤗	https://huggingface.co/DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-MADNESS
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-08-25
Maintainer	DavidAU
Model Type	mistral
Model Files	1.3 GB: 1-of-25 1.3 GB: 2-of-25 1.0 GB: 3-of-25 0.9 GB: 4-of-25 0.9 GB: 5-of-25 0.9 GB: 6-of-25 1.0 GB: 7-of-25 0.9 GB: 8-of-25 0.9 GB: 9-of-25 0.9 GB: 10-of-25 1.0 GB: 11-of-25 0.9 GB: 12-of-25 0.9 GB: 13-of-25 0.9 GB: 14-of-25 1.0 GB: 15-of-25 0.9 GB: 16-of-25 0.9 GB: 17-of-25 0.9 GB: 18-of-25 1.0 GB: 19-of-25 0.9 GB: 20-of-25 0.9 GB: 21-of-25 0.9 GB: 22-of-25 1.0 GB: 23-of-25 0.9 GB: 24-of-25 0.8 GB: 25-of-25
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.43.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN GRAND Gutenberg Lyra4 Lyra 12B MADNESS 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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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-MADNESS.