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

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

Sea Lion 7B Instruct Research 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 Research?

Sea Lion 7B Instruct Research 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 Research by aisingapore — VRAM 15GB

Name: Sea Lion 7B Instruct Research
Author: aisingapore

Sea Lion 7B Instruct Research is an open-source language model by aisingapore. Features: 7b LLM, VRAM: 15GB, License: cc-by-nc-sa-4.0, Instruction-Based, LLM Explorer Score: 0.09.

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-research

Sea Lion 7B Instruct Research Parameters and Internals

Model Type

Decoder

Supported Languages

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

Training Details

Data Volume:

980B tokens

Methodology:

Instruction-tuned on Indonesian data

Context Length:

2048

Model Architecture:

MPT with 32 layers, d_model 4096, head_dim 32

Input Output

Input Format:

Byte-Pair Encoding (BPE), SentencePiece tokenizer

Accepted Modalities:

text

Output Format:

Text

LLM Name	Sea Lion 7B Instruct Research
Repository 🤗	https://huggingface.co/aisingapore/sea-lion-7b-instruct-research
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	9.9 GB: 1-of-2 5.1 GB: 2-of-2
Supported Languages	en zh id ms tl my vi th lo km ta
Model Architecture	MPTForCausalLM
License	cc-by-nc-sa-4.0
Transformers Version	4.31.0
Tokenizer Class	SEABPETokenizer
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Sea Lion 7B Instruct Research 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 Instruct Research

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	0K / 15 GB	208	23
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-research.