What are the hardware requirements for Llama3.1 70B Cpt Sea Lionv3 Instruct?

Llama3.1 70B Cpt Sea Lionv3 Instruct requires approximately 141.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3.1 70B Cpt Sea Lionv3 Instruct and how large is it?

Llama3.1 70B Cpt Sea Lionv3 Instruct is developed by aisingapore, a model with 70b 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 Llama3.1 70B Cpt Sea Lionv3 Instruct?

Llama3.1 70B Cpt Sea Lionv3 Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3.1 70B Cpt Sea Lionv3 Instruct by aisingapore — VRAM 141.9GB, 128K context

Name: Llama3.1 70B Cpt Sea Lionv3 Instruct
Author: aisingapore

Llama3.1 70B Cpt Sea Lionv3 Instruct is an open-source language model by aisingapore. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.17.

Arxiv:2306.05685 Arxiv:2309.06085 Arxiv:2311.07911 Autotrain compatible Base model:aisingapore/llama3.... Base model:finetune:aisingapor... Conversational En Endpoints compatible Fil Id Instruct Jv Km Llama Lo Ms My Region:us Safetensors Sharded Su Ta Tensorflow Th Vi Zh

Model Card on HF 🤗: https://huggingface.co/aisingapore/llama3.1-70b-cpt-sea-lionv3-instruct

Llama3.1 70B Cpt Sea Lionv3 Instruct Parameters and Internals

LLM Name	Llama3.1 70B Cpt Sea Lionv3 Instruct
Repository 🤗	https://huggingface.co/aisingapore/llama3.1-70b-cpt-sea-lionv3-instruct
Base Model(s)	aisingapore/llama3.1-70b-cpt-sea-lionv3-base aisingapore/llama3.1-70b-cpt-sea-lionv3-base
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-04-14
Maintainer	aisingapore
Model Type	llama
Instruction-Based	Yes
Model Files	4.7 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.0 GB: 30-of-30
Supported Languages	en zh vi id th ta ms km lo my jv su
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3.1 70B Cpt Sea Lionv3 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

Best Alternatives to Llama3.1 70B Cpt Sea Lionv3 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938

Note: green Score (e.g. "73.2") means that the model is better than aisingapore/llama3.1-70b-cpt-sea-lionv3-instruct.