What are the hardware requirements for Sarashina1 7B?

Sarashina1 7B requires approximately 13.9 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 Sarashina1 7B and how large is it?

Sarashina1 7B is developed by sbintuitions, a model with 7b 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 Sarashina1 7B?

Sarashina1 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sarashina1 7B by sbintuitions — VRAM 13.9GB, 2K context

Name: Sarashina1 7B
Author: sbintuitions

Sarashina1 7B is an open-source language model by sbintuitions. Features: 7b LLM, VRAM: 13.9GB, Context: 2K, License: mit, LLM Explorer Score: 0.13.

Deploy:azure Endpoints compatible Gpt neox Ja Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/sbintuitions/sarashina1-7b

Sarashina1 7B Parameters and Internals

Model Type

text-generation

Additional Notes

Sarashina1 might generate some meaningless sequences, some inaccurate instances or biased/objectionable outputs.

Supported Languages

ja (Native)

Training Details

Data Sources:

Japanese portion of the Common Crawl corpus

Data Volume:

550B tokens

Methodology:

Used CCNet and HojiChar for data cleaning.

Model Architecture:

GPTNeoX

Responsible Ai Considerations

Fairness:

Sarashina1 has not been tuned to follow instructions yet.

Mitigation Strategies:

Developers should tune models based on human preferences and safety considerations.

Input Output

Input Format:

raw Japanese sentences

Accepted Modalities:

text

Output Format:

text

LLM Name	Sarashina1 7B
Repository 🤗	https://huggingface.co/sbintuitions/sarashina1-7b
Model Size	7b
Required VRAM	13.9 GB
Updated	2026-08-02
Maintainer	sbintuitions
Model Type	gpt_neox
Model Files	10.1 GB: 1-of-2 3.8 GB: 2-of-2
Supported Languages	ja
Model Architecture	GPTNeoXForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.30.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	51200
Torch Data Type	float16

Rank the Sarashina1 7B 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 Sarashina1 7B

Best Alternatives	Context / RAM	Downloads	Likes
Literature 7B 16384	16K / 36 GB	9	16
RedPajama 7B 16384	16K / 36 GB	8	4
Stablelm Tuned Alpha 7B	4K / 31.9 GB	713	361
Stablelm Base Alpha 7B	4K / 31.9 GB	884	208
Stablelm 7B Sft V7 Epoch 3	4K / 32.4 GB	64	67
StableLManticore 7B	4K / 16 GB	10	1
Pythia 6.9B Deduped 4K	4K / 27.2 GB	8	10
Stablelm 7B	4K / 31.9 GB	7	2
Dolly V2 7B	2K / 13.8 GB	1596	150
Open Calm 7B	2K / 13.9 GB	523	205

Note: green Score (e.g. "73.2") means that the model is better than sbintuitions/sarashina1-7b.