What are the hardware requirements for R1 Vortextic 70B L3.3 V1?

R1 Vortextic 70B L3.3 V1 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 R1 Vortextic 70B L3.3 V1 and how large is it?

R1 Vortextic 70B L3.3 V1 is developed by Infermatic, 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 R1 Vortextic 70B L3.3 V1?

R1 Vortextic 70B L3.3 V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

R1 Vortextic 70B L3.3 V1 by Infermatic — VRAM 141.9GB, 128K context

Name: R1 Vortextic 70B L3.3 V1
Author: Infermatic

R1 Vortextic 70B L3.3 V1 is an open-source language model by Infermatic. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, LLM Explorer Score: 0.17.

Arxiv:2403.19522 Base model:deepseek-ai/deepsee... Base model:merge:deepseek-ai/d... Base model:merge:meta-llama/ll... Base model:merge:sao10k/70b-l3... Base model:merge:sao10k/70b-l3... Base model:merge:thedrummer/an... Base model:meta-llama/llama-3.... Base model:sao10k/70b-l3.3-cir... Base model:sao10k/70b-l3.3-mhn... Base model:thedrummer/anubis-7... Conversational Endpoints compatible Llama Merge Mergekit Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Infermatic/R1-vortextic-70B-L3.3-v1

R1 Vortextic 70B L3.3 V1 Parameters and Internals

LLM Name	R1 Vortextic 70B L3.3 V1
Repository 🤗	https://huggingface.co/Infermatic/R1-vortextic-70B-L3.3-v1
Base Model(s)	DeepSeek R1 Distill Llama 70B Sao10K/70B-L3.3-mhnnn-x1 meta-llama/Llama-3.3-70B-Instruct Anubis 70B V1 Sao10K/70B-L3.3-Cirrus-x1 deepseek-ai/DeepSeek-R1-Distill-Llama-70B Sao10K/70B-L3.3-mhnnn-x1 meta-llama/Llama-3.3-70B-Instruct TheDrummer/Anubis-70B-v1 Sao10K/70B-L3.3-Cirrus-x1
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-06-09
Maintainer	Infermatic
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	4.49.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the R1 Vortextic 70B L3.3 V1 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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