What are the hardware requirements for ArrowSmartPlus 3.6B Instant Sft?

ArrowSmartPlus 3.6B Instant Sft requires approximately 14.3 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 ArrowSmartPlus 3.6B Instant Sft and how large is it?

ArrowSmartPlus 3.6B Instant Sft is developed by DataPilot, 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 ArrowSmartPlus 3.6B Instant Sft?

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

ArrowSmartPlus 3.6B Instant Sft by DataPilot — VRAM 14.3GB, 2K context

Name: ArrowSmartPlus 3.6B Instant Sft
Author: DataPilot

ArrowSmartPlus 3.6B Instant Sft is an open-source language model by DataPilot. Features: 3.6b LLM, VRAM: 14.3GB, Context: 2K, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.12.

Finetuned Gpt neox Ja Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DataPilot/ArrowSmartPlus_3.6B_instant_sft

ArrowSmartPlus 3.6B Instant Sft Parameters and Internals

Model Type

causal language model

Use Cases

Areas:

教育

Primary Use Cases:

中学、・高校の教育

Supported Languages

ja (high)

Training Details

Data Sources:

ウィキブック

Methodology:

ファインチューニング

Input Output

Input Format:

raw Japanese sentences

Accepted Modalities:

text

Output Format:

text

LLM Name	ArrowSmartPlus 3.6B Instant Sft
Repository 🤗	https://huggingface.co/DataPilot/ArrowSmartPlus_3.6B_instant_sft
Model Size	3.6b
Required VRAM	14.3 GB
Updated	2026-08-25
Maintainer	DataPilot
Model Type	gpt_neox
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.4 GB: 3-of-3 0.0 GB
Supported Languages	ja
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Tokenizer Class	T5Tokenizer
Padding Token	</s>
Vocabulary Size	51200
Torch Data Type	float32

Rank the ArrowSmartPlus 3.6B Instant 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 ArrowSmartPlus 3.6B Instant Sft

Best Alternatives	Context / RAM	Downloads	Likes
Japanese GPT Neox 3.6B	2K / 7.4 GB	7552	102
...y Jimba Japanese Large Lm 3.6B	2K / 7.1 GB	6	0
...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
... Large Lm 3.6B Instruction Sft	2K / 7.2 GB	127	27
Japanese Large Lm 3.6B	2K / 7.2 GB	152	73
...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

Note: green Score (e.g. "73.2") means that the model is better than DataPilot/ArrowSmartPlus_3.6B_instant_sft.