What are the hardware requirements for ReasoningCore Llama 3B R1 Aligned?

ReasoningCore Llama 3B R1 Aligned requires approximately 6.5 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 ReasoningCore Llama 3B R1 Aligned and how large is it?

ReasoningCore Llama 3B R1 Aligned is developed by EpistemeAI, a model with 3b 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 ReasoningCore Llama 3B R1 Aligned?

ReasoningCore Llama 3B R1 Aligned is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ReasoningCore Llama 3B R1 Aligned by EpistemeAI — VRAM 6.5GB, 128K context

Name: ReasoningCore Llama 3B R1 Aligned
Author: EpistemeAI

ReasoningCore Llama 3B R1 Aligned is an open-source language model by EpistemeAI. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, LLM Explorer Score: 0.18.

Base model:epistemeai/reasonin... Base model:finetune:epistemeai... Conversational Dataset:gretelai/gretel-safety... En Endpoints compatible Llama Pytorch Region:us Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/EpistemeAI/ReasoningCore-Llama-3B-R1-aligned

ReasoningCore Llama 3B R1 Aligned Parameters and Internals

LLM Name	ReasoningCore Llama 3B R1 Aligned
Repository 🤗	https://huggingface.co/EpistemeAI/ReasoningCore-Llama-3B-R1-aligned
Base Model(s)	ReasoningCore 3B RE1 V2 EpistemeAI/ReasoningCore-3B-RE1-V2
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-07-06
Maintainer	EpistemeAI
Model Type	llama
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the ReasoningCore Llama 3B R1 Aligned 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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Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
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ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
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Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/ReasoningCore-Llama-3B-R1-aligned.