What are the hardware requirements for Sea Lion 7B?

Sea Lion 7B requires approximately 15 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sea Lion 7B and how large is it?

Sea Lion 7B is developed by aisingapore, 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 Sea Lion 7B?

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

Sea Lion 7B by aisingapore — VRAM 15GB

Name: Sea Lion 7B
Author: aisingapore

Sea Lion 7B is an open-source language model by aisingapore. Features: 7b LLM, VRAM: 15GB, License: mit, LLM Explorer Score: 0.1.

Model Card on HF 🤗: https://huggingface.co/aisingapore/sea-lion-7b

Sea Lion 7B Parameters and Internals

Model Type

Decoder

Additional Notes

This is the repository for the base model. The model has not been aligned for safety.

Supported Languages

en (English), zh (Chinese), id (Indonesian), ms (Malay), th (Thai), vi (Vietnamese), fil (Filipino), ta (Tamil), my (Burmese), km (Khmer), lo (Lao)

Training Details

Data Sources:

RefinedWeb - English, mC4 - Chinese, mC4 - Indonesian, mC4 - Malay, mC4 - Filipino, mC4 - Burmese, mC4 - Vietnamese, mC4 - Thai, WangChanBERTa - Thai, mC4 - Lao, mC4 - Khmer, mC4 - Tamil, the Stack - Python, the Stack - Javascript, the Stack - Shell, the Stack - SQL, the Stack - Markdown, RedPajama - StackExchange, RedPajama - ArXiv

Data Volume:

980B tokens

Context Length:

2048

Training Time:

22 days

Hardware Used:

AWS EC2 p4d.24xlarge - 32 instances, Nvidia A100 40GB GPU - 256

Model Architecture:

Uses MPT architecture with 32 layers, d_model: 4096, head_dim: 32, Vocabulary: 256000, Sequence Length: 2048

LLM Name	Sea Lion 7B
Repository 🤗	https://huggingface.co/aisingapore/sea-lion-7b
Model Size	7b
Required VRAM	15 GB
Updated	2025-04-13
Maintainer	aisingapore
Model Type	mpt
Model Files	9.9 GB: 1-of-2 5.1 GB: 2-of-2
Supported Languages	en zh id ms th vi ta my km lo
Model Architecture	MPTForCausalLM
License	mit
Transformers Version	4.34.1
Tokenizer Class	SEABPETokenizer
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Sea Lion 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 Sea Lion 7B

Best Alternatives	Context / RAM	Downloads	Likes
Mpt 7B Chat	0K / 13.3 GB	80920	518
Mpt 7B Assistant	0K / 13.3 GB	11	1
Mpt 7B	0K / 13.3 GB	18460	1173
Mpt 7B Instruct	0K / 13.3 GB	7946	470
Mpt 7B Storywriter	0K / 13.3 GB	2261	839
Mpt 7B Int8 Ov	0K / 0 GB	13	0
Mpt 7B	0K / 26.5 GB	3064	1
Mpt 7B 8K	0K / 13.3 GB	1915	26
Shears Mpt 7B 50 Base	0K / 13.3 GB	5	2
Mpt 7B 8K Chat	0K / 13.3 GB	1942	40

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