What are the hardware requirements for XortronCriminalComputingConfig?

XortronCriminalComputingConfig 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 XortronCriminalComputingConfig and how large is it?

XortronCriminalComputingConfig is developed by darkc0de, a model with 23.6b 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 XortronCriminalComputingConfig?

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

XortronCriminalComputingConfig by darkc0de — VRAM 47.3GB, 32K context

Name: XortronCriminalComputingConfig
Rating: 4 (25 reviews)
Author: darkc0de

XortronCriminalComputingConfig is an open-source language model by darkc0de. Features: 23.6b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.2.

Merged Model Base model:darkc0de/xortroncri... Base model:troydoesai/blackshe... Conversational Deploy:azure En Endpoints compatible Harmful Mistral Region:us Safetensors Sharded Tensorflow Uncensored

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

XortronCriminalComputingConfig Parameters and Internals

LLM Name	XortronCriminalComputingConfig
Repository 🤗	https://huggingface.co/darkc0de/XortronCriminalComputingConfig
Base Model(s)	XortronCriminalComputing BlackSheep 24B XortronCriminalComputingConfig darkc0de/XortronCriminalComputing TroyDoesAI/BlackSheep-24B darkc0de/XortronCriminalComputingConfig
Merged Model	Yes
Model Size	23.6b
Required VRAM	47.3 GB
Updated	2026-08-05
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	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	float16

Rank the XortronCriminalComputingConfig 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 XortronCriminalComputingConfig

Model	Likes	Downloads	VRAM
...onCriminalComputingConfig 4bit	1	28	13 GB
...onCriminalComputingConfig 6bit	1	24	19 GB
...iminalComputingConfig Mlx 8Bit	3	19	25 GB

Best Alternatives to XortronCriminalComputingConfig

Best Alternatives	Context / RAM	Downloads	Likes
MagiSeek V1.1	128K / 47.3 GB	77	1
Experiment024b	128K / 47.3 GB	14	3
Chat KTO	128K / 47.3 GB	7	0
Chat KTO	128K / 47.3 GB	6	0
Devstral Samll 2507 Bf16	128K / 46.9 GB	24	1
Devstral Small 2505 Bf16	128K / 46.9 GB	55	1
Magistral Small 2506	40K / 47.3 GB	36	0
...stral Small 2501 Tensopolis V1	32K / 47.3 GB	6	0
Magistral Small 2506 Bf16	32K / 46.9 GB	33	10
Sandmisthink24BKaalpac	32K / 47.3 GB	32	0

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