What are the hardware requirements for Llama 3.x 70B TrinitEva V1.1?

Llama 3.x 70B TrinitEva V1.1 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 Llama 3.x 70B TrinitEva V1.1 and how large is it?

Llama 3.x 70B TrinitEva V1.1 is developed by Nexesenex, 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.x 70B TrinitEva V1.1?

Llama 3.x 70B TrinitEva V1.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.x 70B TrinitEva V1.1 by Nexesenex — VRAM 141.9GB, 128K context

Name: Llama 3.x 70B TrinitEva V1.1
Author: Nexesenex

Llama 3.x 70B TrinitEva V1.1 is an open-source language model by Nexesenex. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2403.19522 Base model:nexesenex/llama 3.x... Base model:nexesenex/llama 3.x... Base model:nexesmess/llama 3.x... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nexesenex/Llama_3.x_70b_TrinitEva_V1.1

Llama 3.x 70B TrinitEva V1.1 Parameters and Internals

LLM Name	Llama 3.x 70b TrinitEva V1.1
Repository 🤗	https://huggingface.co/Nexesenex/Llama_3.x_70b_TrinitEva_V1.1
Base Model(s)	Nexesenex/Llama_3.x_70b_NegaTessTeaz_0.2 Nexesenex/Llama_3.x_70b_Doberman_V1.1 Nexesenex/Llama_3.x_70b_Evasion_V1.1 Nexesenex/Llama_3.x_70b_NegaTessTeaz_0.2 Nexesenex/Llama_3.x_70b_Doberman_V1.1 Nexesenex/Llama_3.x_70b_Evasion_V1.1
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-08-08
Maintainer	Nexesenex
Model Type	llama
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
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.x 70B TrinitEva V1.1 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 Llama 3.x 70B TrinitEva V1.1

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
Yi 70B 200K RPMerge Franken	195K / 142.4 GB	10	1