What are the hardware requirements for Mistral RKentaren?

Mistral RKentaren requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral RKentaren and how large is it?

Mistral RKentaren is developed by R-Kentaren. 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 Mistral RKentaren?

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

Mistral RKentaren by R-Kentaren — VRAM 0.2GB

Name: Mistral RKentaren
Author: R-Kentaren

Mistral RKentaren is an open-source language model by R-Kentaren. Features: LLM, VRAM: 0.2GB, License: apache-2.0, LLM Explorer Score: 0.19.

Conversational En Endpoints compatible Lora Not-for-all-audiences Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/R-Kentaren/Mistral-RKentaren

Mistral RKentaren Parameters and Internals

LLM Name	Mistral RKentaren
Repository 🤗	https://huggingface.co/R-Kentaren/Mistral-RKentaren
Required VRAM	0.2 GB
Updated	2025-09-23
Maintainer	R-Kentaren
Model Files	0.2 GB
Supported Languages	en
Model Architecture	AutoModel
License	apache-2.0
Is Biased	none
Tokenizer Class	LlamaTokenizerFast
Padding Token	[control_768]
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|v_proj\|down_proj\|k_proj\|q_proj\|up_proj\|gate_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Mistral RKentaren 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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