What are the hardware requirements for Japanese Large Lm 3.6B Instruction Sft?

Japanese Large Lm 3.6B Instruction Sft requires approximately 7.2 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 Large Lm 3.6B Instruction Sft and how large is it?

Japanese Large Lm 3.6B Instruction Sft is developed by line-corporation, 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 Large Lm 3.6B Instruction Sft?

Japanese Large Lm 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 Large Lm 3.6B Instruction Sft by line-corporation — VRAM 7.2GB, 2K context

Name: Japanese Large Lm 3.6B Instruction Sft
Author: line-corporation

Japanese Large Lm 3.6B Instruction Sft is an open-source language model by line-corporation. Features: 3.6b LLM, VRAM: 7.2GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.08.

Deploy:azure Gpt neox Instruct Ja Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/line-corporation/japanese-large-lm-3.6b-instruction-sft

Japanese Large Lm 3.6B Instruction Sft Parameters and Internals

Model Type

language generation

LLM Name	Japanese Large Lm 3.6B Instruction Sft
Repository 🤗	https://huggingface.co/line-corporation/japanese-large-lm-3.6b-instruction-sft
Model Size	3.6b
Required VRAM	7.2 GB
Updated	2026-08-02
Maintainer	line-corporation
Model Type	gpt_neox
Instruction-Based	Yes
Model Files	7.2 GB 7.2 GB
Supported Languages	ja
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0.dev0
Tokenizer Class	T5Tokenizer
Padding Token	<pad>
Vocabulary Size	51200
Torch Data Type	float16

Rank the Japanese Large Lm 3.6B Instruction Sft capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Large Lm 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 Sft	2K / 7.4 GB	9602	105
... GPT Neox 3.6B Instruction Ppo	2K / 7.4 GB	3052	74
...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 line-corporation/japanese-large-lm-3.6b-instruction-sft.