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

Llama 3.2 3B VanRossum requires approximately 6.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Llama 3.2 3B VanRossum is developed by theprint, 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 VanRossum?

Llama 3.2 3B VanRossum 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 VanRossum by theprint — VRAM 6.5GB

Name: Llama 3.2 3B VanRossum
Author: theprint

Llama 3.2 3B VanRossum is an open-source language model by theprint. Features: 3b LLM, VRAM: 6.5GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

4bit Conversational Dataset:theprint/vanrossum-gpt En Endpoints compatible Gguf Instruct Llama Lora Model-index Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

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

Llama 3.2 3B VanRossum Benchmarks

IFEval: 47.83 vs 88 (so35)^-45.6%

MATH Lvl 5: 9.74

LLME Score: 0.21417

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3.2 3B VanRossum (theprint/Llama-3.2-3B-VanRossum)

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Llama 3.2 3B VanRossum Parameters and Internals

LLM Name	Llama 3.2 3B VanRossum
Repository 🤗	https://huggingface.co/theprint/Llama-3.2-3B-VanRossum
Base Model(s)	unsloth/llama-3.2-3b-instruct-bnb-4bit unsloth/llama-3.2-3b-instruct-bnb-4bit
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-04-12
Maintainer	theprint
Instruction-Based	Yes
Model Files	6.4 GB 1.7 GB 1.5 GB 2.0 GB 1.9 GB 2.3 GB 2.6 GB 3.4 GB 0.0 GB 5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	4bit\|gguf
Model Architecture	AutoModel
License	apache-2.0
Model Max Length	131072
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|gate_proj\|up_proj\|k_proj\|q_proj\|v_proj\|down_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	8

Best Alternatives to Llama 3.2 3B VanRossum

Best Alternatives	Context / RAM	Downloads	Likes
Llama32 3B En Emo V3	128K / 2 GB	12	0
Legal Llama3 Lora Model	0K / 3.4 GB	10	0
...ma Doctor 3.2 3B Instruct GGUF	0K / 2 GB	1905	7
MedQwen3B Reasoner	0K / 6.2 GB	210	13
...a Song Stream 3B Instruct GGUF	0K / 2 GB	295	6
... Sentient 3.2 3B Instruct GGUF	0K / 2 GB	209	8
QwQ LCoT 3B Instruct GGUF	0K / 1.9 GB	27	7
...ma Magpie 3.2 3B Instruct GGUF	0K / 2 GB	57	2
Llama 3.2 3B Instruct GGUF	0K / 2 GB	53	2
Granite 3B Code Instruct GGUF	0K / 1.3 GB	1207	1

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

Rank the Llama 3.2 3B VanRossum Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 VanRossum by theprint

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Llama 3.2 3B VanRossum Benchmarks

Llama 3.2 3B VanRossum Parameters and Internals

Best Alternatives to Llama 3.2 3B VanRossum

Rank the Llama 3.2 3B VanRossum Capabilities

What open-source LLMs or SLMs are you in search of? 53407 in total.