What are the hardware requirements for Patricide 21B Unslop Mell?

Patricide 21B Unslop Mell requires approximately 40.9 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 Patricide 21B Unslop Mell and how large is it?

Patricide 21B Unslop Mell is developed by Darkknight535, 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 Patricide 21B Unslop Mell?

Patricide 21B Unslop Mell is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Patricide 21B Unslop Mell by Darkknight535 — VRAM 40.9GB, 1000K context

Name: Patricide 21B Unslop Mell
Author: Darkknight535

Patricide 21B Unslop Mell is an open-source language model by Darkknight535. Features: 12b LLM, VRAM: 40.9GB, Context: 1000K, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:finetune:redrix/pat... Base model:redrix/patricide-12... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Darkknight535/Patricide-21B-Unslop-Mell

Patricide 21B Unslop Mell Parameters and Internals

LLM Name	Patricide 21B Unslop Mell
Repository 🤗	https://huggingface.co/Darkknight535/Patricide-21B-Unslop-Mell
Base Model(s)	Patricide 12B Unslop Mell redrix/patricide-12B-Unslop-Mell
Merged Model	Yes
Model Size	12b
Required VRAM	40.9 GB
Updated	2026-08-24
Maintainer	Darkknight535
Model Type	mistral
Model Files	4.9 GB: 1-of-9 5.0 GB: 2-of-9 4.9 GB: 3-of-9 4.9 GB: 4-of-9 4.9 GB: 5-of-9 4.9 GB: 6-of-9 4.9 GB: 7-of-9 4.9 GB: 8-of-9 1.6 GB: 9-of-9
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Patricide 21B Unslop Mell 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
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MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Shining Gold Sakura 12B	1000K / 24.5 GB	52	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 Darkknight535/Patricide-21B-Unslop-Mell.