What are the hardware requirements for Model?

Model requires approximately 6.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Model and how large is it?

Model is developed by kanayatmd, 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 Model?

Model is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Model by kanayatmd — VRAM 6.2GB

Name: Model
Author: kanayatmd

Model is an open-source language model by kanayatmd. Features: 6b LLM, VRAM: 6.2GB, Quantized, LLM Explorer Score: 0.13.

8bit Endpoints compatible Gptj Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/kanayatmd/model

Model Parameters and Internals

LLM Name	Model
Repository 🤗	https://huggingface.co/kanayatmd/model
Model Size	6b
Required VRAM	6.2 GB
Updated	2026-07-29
Maintainer	kanayatmd
Model Type	gptj
Model Files	6.2 GB
Quantization Type	8bit
Model Architecture	GPTJForCausalLM
Transformers Version	4.18.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50400
Torch Data Type	float32
Activation Function	gelu_new

Rank the Model 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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