What are the hardware requirements for GPT J 6B 8bit Sharded?

GPT J 6B 8bit Sharded requires approximately 6.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT J 6B 8bit Sharded and how large is it?

GPT J 6B 8bit Sharded is developed by ethzanalytics, a model with 6b 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 GPT J 6B 8bit Sharded?

GPT J 6B 8bit Sharded is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT J 6B 8bit Sharded by ethzanalytics — VRAM 6.3GB

Name: GPT J 6B 8bit Sharded
Author: ethzanalytics

GPT J 6B 8bit Sharded is an open-source language model by ethzanalytics. Features: 6b LLM, VRAM: 6.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.03.

8-bit 8bit Compression Gptj Pytorch Quantization Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ethzanalytics/gpt-j-6B-8bit-sharded

GPT J 6B 8bit Sharded Parameters and Internals

Model Type

text-generation, quantization, compression

Additional Notes

This model version is sharded into smaller parts for loading on low-RAM environments, such as free Colab runtimes. It is intended as an 8-bit quantized version for compression and efficient inference.

Input Output

Performance Tips:

Patch the model before loading using 8bit weights.

LLM Name	GPT J 6B 8bit Sharded
Repository 🤗	https://huggingface.co/ethzanalytics/gpt-j-6B-8bit-sharded
Model Size	6b
Required VRAM	6.3 GB
Updated	2026-07-26
Maintainer	ethzanalytics
Model Type	gptj
Model Files	1.0 GB: 1-of-7 1.0 GB: 2-of-7 1.0 GB: 3-of-7 0.9 GB: 4-of-7 1.0 GB: 5-of-7 1.0 GB: 6-of-7 0.4 GB: 7-of-7 1.0 GB: 1-of-7 1.0 GB: 2-of-7 1.0 GB: 3-of-7 0.9 GB: 4-of-7 1.0 GB: 5-of-7 1.0 GB: 6-of-7 0.4 GB: 7-of-7
Quantization Type	8bit
Model Architecture	GPTJForCausalLM
License	apache-2.0
Model Max Length	2048
Transformers Version	4.21.3
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	<\|endoftext\|>
End of Sentence Token	<\|endoftext\|>
Unk Token	<\|endoftext\|>
Vocabulary Size	50400
Torch Data Type	float32
Activation Function	gelu_new
Errors	replace

Rank the GPT J 6B 8bit Sharded 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 ethzanalytics/gpt-j-6B-8bit-sharded.