What are the hardware requirements for Llama 3.2 3B Gsm8k Lora V1?

Llama 3.2 3B Gsm8k Lora V1 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 3B Gsm8k Lora V1 and how large is it?

Llama 3.2 3B Gsm8k Lora V1 is developed by Anirudhpatil367, 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 Gsm8k Lora V1?

Llama 3.2 3B Gsm8k Lora V1 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 Gsm8k Lora V1 by Anirudhpatil367 — VRAM 0.1GB

Name: Llama 3.2 3B Gsm8k Lora V1
Author: Anirudhpatil367

Llama 3.2 3B Gsm8k Lora V1 is an open-source language model by Anirudhpatil367. Features: 3b LLM, VRAM: 0.1GB, Quantized, Instruction-Based, LLM Explorer Score: 0.28.

4bit Base model:adapter:unsloth/lla... Base model:unsloth/llama-3.2-3... Conversational Instruct Lora Peft Quantized Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Anirudhpatil367/llama-3.2-3b-gsm8k-lora-v1

Llama 3.2 3B Gsm8k Lora V1 Parameters and Internals

LLM Name	Llama 3.2 3B Gsm8k Lora V1
Repository 🤗	https://huggingface.co/Anirudhpatil367/llama-3.2-3b-gsm8k-lora-v1
Base Model(s)	unsloth/Llama-3.2-3B-Instruct-unsloth-bnb-4bit unsloth/Llama-3.2-3B-Instruct-unsloth-bnb-4bit
Model Size	3b
Required VRAM	0.1 GB
Updated	2026-10-07
Maintainer	Anirudhpatil367
Instruction-Based	Yes
Model Files	0.1 GB
Quantization Type	4bit
Model Architecture	AutoModel
Model Max Length	131072
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad_id\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|down_proj\|v_proj\|up_proj\|gate_proj\|k_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Llama 3.2 3B Gsm8k Lora V1 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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