What are the hardware requirements for Llama Sahabat AI V2 70B IT?

Llama Sahabat AI V2 70B IT requires approximately 141.7 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 Llama Sahabat AI V2 70B IT and how large is it?

Llama Sahabat AI V2 70B IT is developed by GoToCompany, 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 Llama Sahabat AI V2 70B IT?

Llama Sahabat AI V2 70B IT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama Sahabat AI V2 70B IT by GoToCompany — VRAM 141.7GB, 128K context

Name: Llama Sahabat AI V2 70B IT
Author: GoToCompany

Llama Sahabat AI V2 70B IT is an open-source language model by GoToCompany. Features: 70b LLM, VRAM: 141.7GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.18.

Arxiv:2306.05685 Arxiv:2310.04928 Arxiv:2311.07911 Arxiv:2502.14301 Ban Bbc Conversational En Endpoints compatible Id Jv Llama Region:us Safetensors Sharded Su Tensorflow

Model Card on HF 🤗: https://huggingface.co/GoToCompany/Llama-Sahabat-AI-v2-70B-IT

Llama Sahabat AI V2 70B IT Parameters and Internals

LLM Name	Llama Sahabat AI V2 70B IT
Repository 🤗	https://huggingface.co/GoToCompany/Llama-Sahabat-AI-v2-70B-IT
Model Size	70b
Required VRAM	141.7 GB
Updated	2026-07-17
Maintainer	GoToCompany
Model Type	llama
Model Files	4.7 GB: 1-of-30 4.7 GB: 2-of-30 4.8 GB: 3-of-30 4.6 GB: 4-of-30 4.7 GB: 5-of-30 4.8 GB: 6-of-30 4.9 GB: 7-of-30 5.0 GB: 8-of-30 4.7 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 5.0 GB: 12-of-30 4.7 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 5.0 GB: 17-of-30 5.0 GB: 18-of-30 4.8 GB: 19-of-30 5.0 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 4.7 GB: 24-of-30 5.0 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 id jv su
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.3
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama Sahabat AI V2 70B IT capabilities

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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

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