What are the hardware requirements for Patricide 12B Unslop Mell V2?

Patricide 12B Unslop Mell V2 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 Patricide 12B Unslop Mell V2 and how large is it?

Patricide 12B Unslop Mell V2 is developed by redrix, 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 12B Unslop Mell V2?

Patricide 12B Unslop Mell V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Patricide 12B Unslop Mell V2 by redrix — VRAM 24.5GB, 1000K context

Name: Patricide 12B Unslop Mell V2
Author: redrix

Patricide 12B Unslop Mell V2 is an open-source language model by redrix. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Merged, LLM Explorer Score: 0.15.

Merged Model 12b Base model:inflatebot/mn-12b-m... Base model:thedrummer/unslopne... Chat Conversational Creative-writing Endpoints compatible Mistral Nuslerp Region:us Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/redrix/patricide-12B-Unslop-Mell-v2

Patricide 12B Unslop Mell V2 Parameters and Internals

LLM Name	Patricide 12B Unslop Mell V2
Repository 🤗	https://huggingface.co/redrix/patricide-12B-Unslop-Mell-v2
Base Model(s)	MN 12B Mag Mell R1 UnslopNemo 12B V4 inflatebot/MN-12B-Mag-Mell-R1 TheDrummer/UnslopNemo-12B-v4
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-30
Maintainer	redrix
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
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.47.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131074
Torch Data Type	bfloat16

Rank the Patricide 12B Unslop Mell V2 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

Quantized Models of the Patricide 12B Unslop Mell V2

Model	Likes	Downloads	VRAM
...ricide 12B Unslop Mell V2 GGUF	3	88	8 GB

Best Alternatives to Patricide 12B Unslop Mell V2

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
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
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
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
Mistral Nemo Kartoffel 12B	1000K / 24.5 GB	47	6

Note: green Score (e.g. "73.2") means that the model is better than redrix/patricide-12B-Unslop-Mell-v2.