What are the hardware requirements for XORTRON.CriminalComputing.LARGE.2026.3?

XORTRON.CriminalComputing.LARGE.2026.3 requires approximately 217.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed XORTRON.CriminalComputing.LARGE.2026.3 and how large is it?

XORTRON.CriminalComputing.LARGE.2026.3 is developed by darkc0de, a model with 122.6b 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 XORTRON.CriminalComputing.LARGE.2026.3?

XORTRON.CriminalComputing.LARGE.2026.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

XORTRON.CriminalComputing.LARGE.2026.3 by darkc0de — VRAM 217.2GB, 128K context

Name: XORTRON.CriminalComputing.LARGE.2026.3
Author: darkc0de

XORTRON.CriminalComputing.LARGE.2026.3 is an open-source language model by darkc0de. Features: 122.6b LLM, VRAM: 217.2GB, Context: 128K, License: wtfpl, Instruction-Based, LLM Explorer Score: 0.27.

Abliterated Base model:finetune:mistralai/... Base model:mistralai/mistral-l... Conversational De Decensored En Endpoints compatible Es Fr Heretic Instruct It Ja Ko Mistral Pt Region:us Ru Safetensors Sharded Tensorflow Uncensored Zh

Model Card on HF 🤗: https://huggingface.co/darkc0de/XORTRON.CriminalComputing.LARGE.2026.3

XORTRON.CriminalComputing.LARGE.2026.3 Parameters and Internals

LLM Name	XORTRON.CriminalComputing.LARGE.2026.3
Repository 🤗	https://huggingface.co/darkc0de/XORTRON.CriminalComputing.LARGE.2026.3
Base Model(s)	Mistral Large Instruct 2411 mistralai/Mistral-Large-Instruct-2411
Model Size	122.6b
Required VRAM	217.2 GB
Updated	2026-08-10
Maintainer	darkc0de
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-51 4.8 GB: 2-of-51 4.9 GB: 3-of-51 4.8 GB: 4-of-51 4.8 GB: 5-of-51 4.8 GB: 6-of-51 4.9 GB: 7-of-51 4.8 GB: 8-of-51 4.8 GB: 9-of-51 4.8 GB: 10-of-51 4.9 GB: 11-of-51 4.8 GB: 12-of-51 4.8 GB: 13-of-51 4.8 GB: 14-of-51 4.9 GB: 15-of-51 4.8 GB: 16-of-51 4.8 GB: 17-of-51 4.8 GB: 18-of-51 4.9 GB: 19-of-51 4.8 GB: 20-of-51 4.8 GB: 21-of-51 4.8 GB: 22-of-51 4.9 GB: 23-of-51 4.8 GB: 24-of-51 4.8 GB: 25-of-51 4.8 GB: 26-of-51 4.9 GB: 27-of-51 4.8 GB: 28-of-51 4.8 GB: 29-of-51 4.8 GB: 30-of-51 4.9 GB: 31-of-51 4.8 GB: 32-of-51 4.8 GB: 33-of-51 4.8 GB: 34-of-51 4.9 GB: 35-of-51 4.8 GB: 36-of-51 4.8 GB: 37-of-51 4.8 GB: 38-of-51 4.9 GB: 39-of-51 4.8 GB: 40-of-51 4.8 GB: 41-of-51 4.8 GB: 42-of-51 4.9 GB: 43-of-51 4.8 GB: 44-of-51 4.8 GB: 45-of-51
Supported Languages	en fr de es it pt zh ja ru ko
Model Architecture	MistralForCausalLM
License	wtfpl
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.6
Vocabulary Size	32768

Rank the XORTRON.CriminalComputing.LARGE.2026.3 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

Quantized Models of the XORTRON.CriminalComputing.LARGE.2026.3

Model	Likes	Downloads	VRAM
...omputing.LARGE.2026.3 Mlx 6Bit	1	96	99 GB
...omputing.LARGE.2026.3 Mlx 8Bit	1	89	130 GB

Best Alternatives to XORTRON.CriminalComputing.LARGE.2026.3

Best Alternatives	Context / RAM	Downloads	Likes
Mistral Large Instruct 2407	128K / 226.7 GB	4983	865
Writer Large 2411 V2.1	128K / 222 GB	4	18
...arge Instruct 2407 XMADai INT4	128K / 31.7 GB	8	7
...istral Large Instruct 2407 FP8	128K / 123.6 GB	20	10
Mistral Large Instruct 2407	32K / 226.7 GB	13	2
...istral Large Instruct 2407 AWQ	128K / 64.5 GB	50	11

Note: green Score (e.g. "73.2") means that the model is better than darkc0de/XORTRON.CriminalComputing.LARGE.2026.3.