What are the hardware requirements for Llama 3.2 1B Extremist4?

Llama 3.2 1B Extremist4 requires approximately 2.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 1B Extremist4 and how large is it?

Llama 3.2 1B Extremist4 is developed by danieliuspodb, a model with 1b 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 1B Extremist4?

Llama 3.2 1B Extremist4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 1B Extremist4 by danieliuspodb — VRAM 2.5GB

Name: Llama 3.2 1B Extremist4
Author: danieliuspodb

Llama 3.2 1B Extremist4 is an open-source language model by danieliuspodb. Features: 1b LLM, VRAM: 2.5GB, LLM Explorer Score: 0.17.

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

Model Card on HF 🤗: https://huggingface.co/danieliuspodb/llama-3.2-1b-extremist4

Llama 3.2 1B Extremist4 Parameters and Internals

LLM Name	Llama 3.2 1B Extremist4
Repository 🤗	https://huggingface.co/danieliuspodb/llama-3.2-1b-extremist4
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-07-12
Maintainer	danieliuspodb
Model Files	0.0 GB 2.5 GB
Model Architecture	AutoModelForCausalLM
Model Max Length	131072
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Llama 3.2 1B Extremist4 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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Note: green Score (e.g. "73.2") means that the model is better than danieliuspodb/llama-3.2-1b-extremist4.