What are the hardware requirements for Llama3 70B EnSecAI Ru Chat?

Llama3 70B EnSecAI Ru Chat requires approximately 141.9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3 70B EnSecAI Ru Chat and how large is it?

Llama3 70B EnSecAI Ru Chat is developed by ensec, 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 70B EnSecAI Ru Chat?

Llama3 70B EnSecAI Ru Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 70B EnSecAI Ru Chat by ensec — VRAM 141.9GB, 8K context

Name: Llama3 70B EnSecAI Ru Chat
Author: ensec

Llama3 70B EnSecAI Ru Chat is an open-source language model by ensec. Features: 70b LLM, VRAM: 141.9GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

4bit Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational En Endpoints compatible Instruct Llama Lora Quantized Region:us Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ensec/Llama3-70B-EnSecAI-Ru-Chat

Llama3 70B EnSecAI Ru Chat Parameters and Internals

LLM Name	Llama3 70B EnSecAI Ru Chat
Repository 🤗	https://huggingface.co/ensec/Llama3-70B-EnSecAI-Ru-Chat
Base Model(s)	meta-llama/Meta-Llama-3.1-70B meta-llama/Meta-Llama-3.1-70B
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-07-24
Maintainer	ensec
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 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 2.1 GB: 30-of-30
Supported Languages	ru en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
LoRA Model	Yes
Torch Data Type	bfloat16

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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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