What are the hardware requirements for Sea Lion 7B Instruct?

Sea Lion 7B Instruct 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 Instruct and how large is it?

Sea Lion 7B Instruct 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 Instruct?

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

Sea Lion 7B Instruct by aisingapore — VRAM 15GB

Name: Sea Lion 7B Instruct
Author: aisingapore

Sea Lion 7B Instruct is an open-source language model by aisingapore. Features: 7b LLM, VRAM: 15GB, License: mit, Instruction-Based, LLM Explorer Score: 0.11.

Arxiv:2309.06085 Autotrain compatible Base model:aisingapore/sea-lio... Base model:finetune:aisingapor... Conversational Custom code En Endpoints compatible Id Instruct Km Lo Mpt Ms My Region:us Safetensors Sharded Ta Tensorflow Th Tl Vi Zh

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

Sea Lion 7B Instruct Parameters and Internals

Model Type

Decoder

Use Cases

Limitations:

Model can hallucinate and generate irrelevant content, Not optimized for multi-turn dialogue

Additional Notes

The model exhibits certain limitations and has not been optimized for safety.

Supported Languages

English (Full), Chinese (Full), Indonesian (Full), Malay (Full), Thai (Full), Vietnamese (Full), Filipino (Full), Tamil (Full), Burmese (Full), Khmer (Full), Lao (Full)

Training Details

Methodology:

Instruction tuning using parameter efficient fine tuning (LoRA)

Hardware Used:

8x A100-40GB

Model Architecture:

MPT architecture

LLM Name	Sea Lion 7B Instruct
Repository 🤗	https://huggingface.co/aisingapore/sea-lion-7b-instruct
Base Model(s)	Sea Lion 7B aisingapore/sea-lion-7b
Model Size	7b
Required VRAM	15 GB
Updated	2025-04-13
Maintainer	aisingapore
Model Type	mpt
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 0.1 GB: 4-of-4
Supported Languages	en zh id ms tl my vi th lo km ta
Model Architecture	MPTForCausalLM
License	mit
Transformers Version	4.37.2
Tokenizer Class	SEABPETokenizer
Padding Token	<\|padding\|>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Sea Lion 7B Instruct 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

Quantized Models of the Sea Lion 7B Instruct

Model	Likes	Downloads	VRAM
Sea Lion 7B Instruct Gptq	0	5	5 GB

Best Alternatives to Sea Lion 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Mpt 7B Chat	0K / 13.3 GB	80920	518
Mpt 7B Instruct	0K / 13.3 GB	7946	470
Mpt 7B Int8 Ov	0K / 0 GB	13	0
Mpt 7B 8K Instruct	0K / 13.3 GB	2012	27
Sea Lion 7B Instruct Research	0K / 15 GB	11	14
Results	0K / 13.3 GB	7	0
Mpt 7B 8K Chat Sharded Bf16	0K / 13.4 GB	7	1
...7B 8K Instruct Peft Compatible	0K / 13.3 GB	9	1
Vigogne Mpt 7B Instruct	0K / 13.4 GB	7	0
...pt 7B Instruct Peft Compatible	0K / 13.3 GB	5	0

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