What are the hardware requirements for MN Dark Planet TITAN 12B?

MN Dark Planet TITAN 12B 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 Dark Planet TITAN 12B and how large is it?

MN Dark Planet TITAN 12B 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 Dark Planet TITAN 12B?

MN Dark Planet TITAN 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN Dark Planet TITAN 12B by DavidAU — VRAM 23.8GB, 1000K context

Name: MN Dark Planet TITAN 12B
Author: DavidAU

MN Dark Planet TITAN 12B is an open-source language model by DavidAU. Features: 12b LLM, VRAM: 23.8GB, Context: 1000K, LLM Explorer Score: 0.15.

Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DavidAU/MN-Dark-Planet-TITAN-12B

MN Dark Planet TITAN 12B Parameters and Internals

Additional Notes

This repo contains the full precision source code, in 'safe tensors' format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats. The source code can also be used directly.

LLM Name	MN Dark Planet TITAN 12B
Repository 🤗	https://huggingface.co/DavidAU/MN-Dark-Planet-TITAN-12B
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 Dark Planet TITAN 12B 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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...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/MN-Dark-Planet-TITAN-12B.