What are the hardware requirements for Llama 3.2 3B Mathdaily Chatbot?

Llama 3.2 3B Mathdaily Chatbot requires approximately 19.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 3B Mathdaily Chatbot and how large is it?

Llama 3.2 3B Mathdaily Chatbot is developed by Atharva26, 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 Mathdaily Chatbot?

Llama 3.2 3B Mathdaily Chatbot 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 Mathdaily Chatbot by Atharva26 — VRAM 19.3GB

Name: Llama 3.2 3B Mathdaily Chatbot
Author: Atharva26

Llama 3.2 3B Mathdaily Chatbot is an open-source language model by Atharva26. Features: 3b LLM, VRAM: 19.3GB, LLM Explorer Score: 0.15.

Arxiv:1910.09700 Conversational Endpoints compatible Llama Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/poojavalecha09/llama-3.2-3b-mathdaily-chatbot

Llama 3.2 3B Mathdaily Chatbot Parameters and Internals

LLM Name	Llama 3.2 3B Mathdaily Chatbot
Repository 🤗	https://huggingface.co/poojavalecha09/llama-3.2-3b-mathdaily-chatbot
Model Size	3b
Required VRAM	19.3 GB
Updated	2026-08-24
Maintainer	Atharva26
Model Files	0.1 GB 5.0 GB: 1-of-2 5.0 GB: 1-of-3 1.5 GB: 2-of-2 4.9 GB: 2-of-3 2.9 GB: 3-of-3
Model Architecture	AutoModelForCausalLM
Model Max Length	131072
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	[PAD]
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|q_proj\|down_proj\|o_proj\|v_proj\|k_proj\|up_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Llama 3.2 3B Mathdaily Chatbot 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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Note: green Score (e.g. "73.2") means that the model is better than poojavalecha09/llama-3.2-3b-mathdaily-chatbot.