What are the hardware requirements for Llama 3.2 3B Math Oct?

Llama 3.2 3B Math Oct 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 Llama 3.2 3B Math Oct and how large is it?

Llama 3.2 3B Math Oct is developed by prithivMLmods, 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 Llama 3.2 3B Math Oct?

Llama 3.2 3B Math Oct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 3B Math Oct by prithivMLmods — VRAM 6.5GB, 128K context

Name: Llama 3.2 3B Math Oct
Author: prithivMLmods

Llama 3.2 3B Math Oct is an open-source language model by prithivMLmods. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.21.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Llama-3.2-3B-Math-Oct

Llama 3.2 3B Math Oct Parameters and Internals

LLM Name	Llama 3.2 3B Math Oct
Repository 🤗	https://huggingface.co/prithivMLmods/Llama-3.2-3B-Math-Oct
Base Model(s)	meta-llama/Llama-3.2-3B-Instruct meta-llama/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-07-25
Maintainer	prithivMLmods
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	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3.2 3B Math Oct 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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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
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Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
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ReasoningCore 3B T1 1	128K / 6.5 GB	8	1
... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Llama-3.2-3B-Math-Oct.