What are the hardware requirements for MegaMath Llama 3.2 3B?

MegaMath Llama 3.2 3B 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 MegaMath Llama 3.2 3B and how large is it?

MegaMath Llama 3.2 3B is developed by LLM360, 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 MegaMath Llama 3.2 3B?

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

MegaMath Llama 3.2 3B by LLM360 — VRAM 6.5GB, 128K context

Name: MegaMath Llama 3.2 3B
Author: LLM360

MegaMath Llama 3.2 3B is an open-source language model by LLM360. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, LLM Explorer Score: 0.18.

Arxiv:2504.02807 Code Cot Dataset:llm360/megamath En Endpoints compatible Llama Math Pal Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/LLM360/MegaMath-Llama-3.2-3B

MegaMath Llama 3.2 3B Parameters and Internals

LLM Name	MegaMath Llama 3.2 3B
Repository 🤗	https://huggingface.co/LLM360/MegaMath-Llama-3.2-3B
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-07-27
Maintainer	LLM360
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	4.48.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the MegaMath Llama 3.2 3B 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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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
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	15	0
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
G9v3 3B	128K / 6 GB	2670	31

Note: green Score (e.g. "73.2") means that the model is better than LLM360/MegaMath-Llama-3.2-3B.