What are the hardware requirements for Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO?

Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO requires approximately 16.1 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 Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO and how large is it?

Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO is developed by EpistemeAI, a model with 8b 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 Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO?

Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO by EpistemeAI — VRAM 16.1GB, 128K context

Name: Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO
Author: EpistemeAI

Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO is an open-source language model by EpistemeAI. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.17.

Base model:epistemeai/reasonin... Base model:finetune:epistemeai... Conversational En Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V3-ORPO

Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO Parameters and Internals

LLM Name	Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO
Repository 🤗	https://huggingface.co/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V3-ORPO
Base Model(s)	EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-04
Maintainer	EpistemeAI
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Reasoning Llama 3.1 CoT RE1 NMT V3 ORPO 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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...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V3-ORPO.