What are the hardware requirements for Llama 3.2 3B Instruct T Base Merge?

Llama 3.2 3B Instruct T Base Merge 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 Instruct T Base Merge and how large is it?

Llama 3.2 3B Instruct T Base Merge is developed by Jakelolipopp, 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 Instruct T Base Merge?

Llama 3.2 3B Instruct T Base Merge 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 Instruct T Base Merge by Jakelolipopp — VRAM 6.5GB, 128K context

Name: Llama 3.2 3B Instruct T Base Merge
Author: Jakelolipopp

Llama 3.2 3B Instruct T Base Merge is an open-source language model by Jakelolipopp. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

4bit Conversational En Endpoints compatible Instruct Llama Pytorch Quantized Region:us Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Jakelolipopp/Llama-3.2-3B-Instruct-t-base-merge

Llama 3.2 3B Instruct T Base Merge Parameters and Internals

LLM Name	Llama 3.2 3B Instruct T Base Merge
Repository 🤗	https://huggingface.co/Jakelolipopp/Llama-3.2-3B-Instruct-t-base-merge
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	6.5 GB
Updated	2026-06-05
Maintainer	Jakelolipopp
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3.2 3B Instruct T Base Merge 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 Jakelolipopp/Llama-3.2-3B-Instruct-t-base-merge.