What are the hardware requirements for RedPajama 3B V1 AutoRedteam Harmless Only?

RedPajama 3B V1 AutoRedteam Harmless Only requires approximately 11 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed RedPajama 3B V1 AutoRedteam Harmless Only and how large is it?

RedPajama 3B V1 AutoRedteam Harmless Only is developed by ontocord, 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 RedPajama 3B V1 AutoRedteam Harmless Only?

RedPajama 3B V1 AutoRedteam Harmless Only is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RedPajama 3B V1 AutoRedteam Harmless Only by ontocord — VRAM 11GB, 2K context

Name: RedPajama 3B V1 AutoRedteam Harmless Only
Author: ontocord

RedPajama 3B V1 AutoRedteam Harmless Only is an open-source language model by ontocord. Features: 3b LLM, VRAM: 11GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.17.

Gpt neox Region:us Safetensors Sharded Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only

RedPajama 3B V1 AutoRedteam Harmless Only Parameters and Internals

LLM Name	RedPajama 3B V1 AutoRedteam Harmless Only
Repository 🤗	https://huggingface.co/ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only
Model Size	3b
Required VRAM	11 GB
Updated	2026-07-29
Maintainer	ontocord
Model Type	gpt_neox
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 1.2 GB: 3-of-3
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.45.2
Vocabulary Size	50432
Torch Data Type	float32

Rank the RedPajama 3B V1 AutoRedteam Harmless Only 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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