What are the hardware requirements for Mergekit Dare Ties Afgxxsc?

Mergekit Dare Ties Afgxxsc requires approximately 24.5 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 Mergekit Dare Ties Afgxxsc and how large is it?

Mergekit Dare Ties Afgxxsc is developed by mergekit-community, 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 Mergekit Dare Ties Afgxxsc?

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

Mergekit Dare Ties Afgxxsc by mergekit-community — VRAM 24.5GB, 1000K context

Name: Mergekit Dare Ties Afgxxsc
Author: mergekit-community

Mergekit Dare Ties Afgxxsc is an open-source language model by mergekit-community. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2311.03099 Base model:dreamgen/lucid-v1-n... Base model:readyart/omega-dark... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-dare_ties-afgxxsc

Mergekit Dare Ties Afgxxsc Parameters and Internals

LLM Name	Mergekit Dare Ties Afgxxsc
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-dare_ties-afgxxsc
Base Model(s)	...Darker The Final Directive 12B Lucid V1 Nemo Dark Science 12B ReadyArt/Omega-Darker_The-Final-Directive-12B dreamgen/lucid-v1-nemo ftamas/Dark-Science-12B
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-07
Maintainer	mergekit-community
Model Type	mistral
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.51.1
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131077
Torch Data Type	bfloat16

Rank the Mergekit Dare Ties Afgxxsc capabilities

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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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Riverfish Rocinante 12B SFT	1000K / 49.4 GB	166	1
Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-dare_ties-afgxxsc.