What are the hardware requirements for VICIOUS MESH 12B?

VICIOUS MESH 12B 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 VICIOUS MESH 12B and how large is it?

VICIOUS MESH 12B is developed by bamec66557, 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 VICIOUS MESH 12B?

VICIOUS MESH 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

VICIOUS MESH 12B by bamec66557 — VRAM 24.5GB, 1000K context

Name: VICIOUS MESH 12B
Author: bamec66557

VICIOUS MESH 12B is an open-source language model by bamec66557. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.22.

Merged Model Autotrain compatible Base model:bamec66557/mischiev... Base model:bamec66557/mischiev... Conversational Dataset:open-llm-leaderboard/b... En Endpoints compatible Gguf Mistral Model-index Not-for-all-audiences Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bamec66557/VICIOUS_MESH-12B

VICIOUS MESH 12B Parameters and Internals

LLM Name	VICIOUS MESH 12B
Repository 🤗	https://huggingface.co/bamec66557/VICIOUS_MESH-12B
Base Model(s)	bamec66557/MISCHIEVOUS-12B-Mix_0.5v MISCHIEVOUS 12B Mix III Ex V bamec66557/MISCHIEVOUS-12B-Mix_0.5v bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2024-12-18
Maintainer	bamec66557
Model Type	mistral
Model Files	24.5 GB 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
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131074
Torch Data Type	bfloat16

Rank the VICIOUS MESH 12B 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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