What are the hardware requirements for Rnj 1 Instruct?

Rnj 1 Instruct requires approximately 33.5 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 Rnj 1 Instruct and how large is it?

Rnj 1 Instruct is developed by EssentialAI, a model with 8.3b 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 Rnj 1 Instruct?

Rnj 1 Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rnj 1 Instruct by EssentialAI — VRAM 33.5GB, 32K context

Name: Rnj 1 Instruct
Author: EssentialAI

Rnj 1 Instruct is an open-source language model by EssentialAI. Features: 8.3b LLM, VRAM: 33.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.27.

Base model:essentialai/rnj-1 Base model:finetune:essentiala... Conversational Deploy:azure Endpoints compatible Gemma3 text Instruct Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/EssentialAI/rnj-1-instruct

Rnj 1 Instruct Parameters and Internals

LLM Name	Rnj 1 Instruct
Repository 🤗	https://huggingface.co/EssentialAI/rnj-1-instruct
Base Model(s)	EssentialAI/rnj-1 EssentialAI/rnj-1
Model Size	8.3b
Required VRAM	33.5 GB
Updated	2026-08-03
Maintainer	EssentialAI
Model Type	gemma3_text
Instruction-Based	Yes
Model Files	4.8 GB: 1-of-7 4.9 GB: 2-of-7 4.9 GB: 3-of-7 4.9 GB: 4-of-7 4.9 GB: 5-of-7 4.9 GB: 6-of-7 4.2 GB: 7-of-7
Model Architecture	Gemma3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.2
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	128256
Torch Data Type	float32

Rank the Rnj 1 Instruct 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 Rnj 1 Instruct

Model	Likes	Downloads	VRAM
Rnj 1 Instruct 8bit	1	20	9 GB

Best Alternatives to Rnj 1 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Rnj 1 Instruct 8bit	32K / 9.4 GB	20	1