What are the hardware requirements for Llama 3 70B Tagengo?

Llama 3 70B Tagengo requires approximately 141.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 70B Tagengo and how large is it?

Llama 3 70B Tagengo is developed by ruslandev, 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 3 70B Tagengo?

Llama 3 70B Tagengo is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 70B Tagengo by ruslandev — VRAM 141.9GB

Name: Llama 3 70B Tagengo
Author: ruslandev

Llama 3 70B Tagengo is an open-source language model by ruslandev. Features: 70b LLM, VRAM: 141.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-70b... Dataset:lightblue/tagengo-gpt4 En Endpoints compatible Llama Lora Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ruslandev/llama-3-70b-tagengo

Llama 3 70B Tagengo Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, llama, trl

Additional Notes

This model is finetuned on the Tagengo dataset. It has been created for educational purposes and needs further training/fine tuning.

Training Details

Methodology:

finetuned on the Tagengo dataset

Training Time:

7 hours on a single H100

Hardware Used:

single H100

LLM Name	Llama 3 70B Tagengo
Repository 🤗	https://huggingface.co/ruslandev/llama-3-70b-tagengo
Base Model(s)	Llama 3 70B Bnb 4bit unsloth/llama-3-70b-bnb-4bit
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-08-02
Maintainer	ruslandev
Model Files	0.8 GB 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	en
Quantization Type	4bit
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Model Max Length	8192
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|up_proj\|down_proj\|gate_proj\|q_proj\|k_proj\|o_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Llama 3 70B Tagengo 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

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Note: green Score (e.g. "73.2") means that the model is better than ruslandev/llama-3-70b-tagengo.