What are the hardware requirements for ReasoningCore 3B Instruct R01 Reflect Math?

ReasoningCore 3B Instruct R01 Reflect Math 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 Instruct R01 Reflect Math and how large is it?

ReasoningCore 3B Instruct R01 Reflect Math 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 Instruct R01 Reflect Math?

ReasoningCore 3B Instruct R01 Reflect Math is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ReasoningCore 3B Instruct R01 Reflect Math by EpistemeAI — VRAM 6.5GB, 128K context

Name: ReasoningCore 3B Instruct R01 Reflect Math
Author: EpistemeAI

ReasoningCore 3B Instruct R01 Reflect Math is an open-source language model by EpistemeAI. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.17.

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

Model Card on HF 🤗: https://huggingface.co/EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect-Math

ReasoningCore 3B Instruct R01 Reflect Math Parameters and Internals

LLM Name	ReasoningCore 3B Instruct R01 Reflect Math
Repository 🤗	https://huggingface.co/EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect-Math
Base Model(s)	...ngCore 3B Instruct R01 Reflect EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-08-06
Maintainer	EpistemeAI
Model Type	llama
Instruction-Based	Yes
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	4.48.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the ReasoningCore 3B Instruct R01 Reflect Math capabilities

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Instruction Following and Task Automation
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Best Alternatives to ReasoningCore 3B Instruct R01 Reflect Math

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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
Alloma 3B Instruct	128K / 6.5 GB	55456	6
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
Schematron 3B	128K / 6.5 GB	969	336
ReasoningCore 3B T1 1	128K / 6.5 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect-Math.