What are the hardware requirements for Japanese GPT Neox 3.6B Instruction Sft?

Japanese GPT Neox 3.6B Instruction Sft requires approximately 7.4 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Japanese GPT Neox 3.6B Instruction Sft and how large is it?

Japanese GPT Neox 3.6B Instruction Sft is developed by rinna, a model with 3.6b 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 Japanese GPT Neox 3.6B Instruction Sft?

Japanese GPT Neox 3.6B Instruction Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Japanese GPT Neox 3.6B Instruction Sft by rinna — VRAM 7.4GB, 2K context

Name: Japanese GPT Neox 3.6B Instruction Sft
Author: rinna

Japanese GPT Neox 3.6B Instruction Sft is an open-source language model by rinna. Features: 3.6b LLM, VRAM: 7.4GB, Context: 2K, License: mit, Instruction-Based, LLM Explorer Score: 0.1.

Arxiv:2404.01657 Autotrain compatible Base model:finetune:rinna/japa... Base model:rinna/japanese-gpt-... Dataset:anthropic/hh-rlhf Dataset:stanfordnlp/shp Gpt neox Instruct Ja Lm Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/rinna/japanese-gpt-neox-3.6b-instruction-sft

Japanese GPT Neox 3.6B Instruction Sft Parameters and Internals

LLM Name	Japanese GPT Neox 3.6B Instruction Sft
Repository 🤗	https://huggingface.co/rinna/japanese-gpt-neox-3.6b-instruction-sft
Base Model(s)	rinna/japanese-gpt-neox-3.6b rinna/japanese-gpt-neox-3.6b
Model Size	3.6b
Required VRAM	7.4 GB
Updated	2025-11-01
Maintainer	rinna
Model Type	gpt_neox
Instruction-Based	Yes
Model Files	7.4 GB 7.4 GB
Supported Languages	ja
Model Architecture	GPTNeoXForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Tokenizer Class	T5Tokenizer
Padding Token	[PAD]
Vocabulary Size	32000
Torch Data Type	float16

Rank the Japanese GPT Neox 3.6B Instruction Sft 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

Best Alternatives to Japanese GPT Neox 3.6B Instruction Sft

Best Alternatives	Context / RAM	Downloads	Likes
...rrowSmartPlus 3.6B Instruction	2K / 14.3 GB	9	1
...rtPlus 3.6B Instant Sft JHSVer	2K / 14.3 GB	9	1
... GPT Neox 3.6B Instruction Ppo	2K / 7.4 GB	3052	74
... Large Lm 3.6B Instruction Sft	2K / 7.2 GB	127	27
...T Neox 3.6B Instruction Sft V2	2K / 7.4 GB	627	26
...tion Sft 8bit 1g Actorder True	2K / 2.8 GB	51	3
...n Sft 4bit 128g Actorder False	2K / 2.1 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than rinna/japanese-gpt-neox-3.6b-instruction-sft.