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

MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS 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 DARKNESS and how large is it?

MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS 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 DARKNESS?

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

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

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

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

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

MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS Parameters and Internals

LLM Name	MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS
Repository 🤗	https://huggingface.co/DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-08-24
Maintainer	DavidAU
Model Type	mistral
Instruction-Based	Yes
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 DARKNESS 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 MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
Qliphoth 12B V1.1	1000K / 24.5 GB	22	3
Qliphoth 12B V1	1000K / 24.5 GB	26	2
SauerkrautLM Nemo 12B Instruct	1000K / 24.5 GB	1473	22
Magnum V4 12B	1000K / 24.5 GB	1116	54
MN Slush	1000K / 24.5 GB	181	32
...g M Claude Opus High Reasoning	1000K / 24.5 GB	82	3
ChatWaifu V1.4	1000K / 24.5 GB	335	20
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9

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