What are the hardware requirements for XortronCriminalComputing?

XortronCriminalComputing requires approximately 47.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed XortronCriminalComputing and how large is it?

XortronCriminalComputing is developed by darkc0de, a model with 24b 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 XortronCriminalComputing?

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

XortronCriminalComputing by darkc0de — VRAM 47.3GB, 32K context

Name: XortronCriminalComputing
Rating: 3.88 (8 reviews)
Author: darkc0de

XortronCriminalComputing is an open-source language model by darkc0de. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: wtfpl, LLM Explorer Score: 0.18.

Base model:cognitivecomputatio... Base model:finetune:cognitivec... Conversational En Harmful Mistral Region:us Safetensors Sharded Tensorflow Toxic Uncensored Unsloth

Model Card on HF 🤗: https://huggingface.co/darkc0de/XortronCriminalComputing

XortronCriminalComputing Parameters and Internals

LLM Name	XortronCriminalComputing
Repository 🤗	https://huggingface.co/darkc0de/XortronCriminalComputing
Base Model(s)	...hin Mistral 24B Venice Edition cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
Model Size	24b
Required VRAM	47.3 GB
Updated	2025-05-02
Maintainer	darkc0de
Model Type	mistral
Model Files	4.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.8 GB: 10-of-10
Supported Languages	en
Model Architecture	MistralForCausalLM
License	wtfpl
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the XortronCriminalComputing capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Ouroboros 24B V1.4	128K / 47.3 GB	217	5
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	16	0
Morbid Miasma 24B	128K / 47.3 GB	333	16
Doppelganger Twist 24B	128K / 47.3 GB	332	0
Zepar 24B V1	128K / 47.3 GB	207	5
MagiSeek Pro V1	128K / 47.3 GB	303	1
Slimaki Tavern 24B V1.3	128K / 47.3 GB	346	16
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Transformed Journey 24B	128K / 47.3 GB	65	0

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