What are the hardware requirements for ReasoningCore 3B RE1 V2A?

ReasoningCore 3B RE1 V2A 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 3B RE1 V2A and how large is it?

ReasoningCore 3B RE1 V2A 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 3B RE1 V2A?

ReasoningCore 3B RE1 V2A is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ReasoningCore 3B RE1 V2A by EpistemeAI — VRAM 6.5GB, 128K context

Name: ReasoningCore 3B RE1 V2A
Author: EpistemeAI

ReasoningCore 3B RE1 V2A is an open-source language model by EpistemeAI. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: proprietary, LLM Explorer Score: 0.22.

Autotrain compatible 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/ReasoningCore-3B-RE1-V2A

ReasoningCore 3B RE1 V2A Parameters and Internals

LLM Name	ReasoningCore 3B RE1 V2A
Repository 🤗	https://huggingface.co/EpistemeAI/ReasoningCore-3B-RE1-V2A
Base Model(s)	ReasoningCore 3B RE1 V2 EpistemeAI/ReasoningCore-3B-RE1-V2
Model Size	3b
Required VRAM	6.5 GB
Updated	2025-03-28
Maintainer	EpistemeAI
Model Type	llama
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2 5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Gated Model	Yes
Model Architecture	LlamaForCausalLM
License	proprietary
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the ReasoningCore 3B RE1 V2A 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 ReasoningCore 3B RE1 V2A

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Nanbeige4.1 3B	256K / 7.9 GB	20875	1161
Nanbeige4.1 3B Heretic	256K / 7.9 GB	149	50
Nanbeige4.1 3B Heretic Mxfp4	256K / 7.9 GB	34	2
Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
...anbeige4.1 3B Heretic Bfloat16	256K / 7.9 GB	33	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	18	0
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
ToolMind Web 3B	192K / 7.9 GB	156	28
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368

Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/ReasoningCore-3B-RE1-V2A.