What are the hardware requirements for E32 Top8 Seq2048 Gbs128 10B Perlayeraux?

E32 Top8 Seq2048 Gbs128 10B Perlayeraux requires approximately 7.4 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed E32 Top8 Seq2048 Gbs128 10B Perlayeraux and how large is it?

E32 Top8 Seq2048 Gbs128 10B Perlayeraux is developed by JIRU-W, a model with 10b 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 E32 Top8 Seq2048 Gbs128 10B Perlayeraux?

E32 Top8 Seq2048 Gbs128 10B Perlayeraux is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

E32 Top8 Seq2048 Gbs128 10B Perlayeraux by JIRU-W — VRAM 7.4GB, 4K context

Name: E32 Top8 Seq2048 Gbs128 10B Perlayeraux
Author: JIRU-W

E32 Top8 Seq2048 Gbs128 10B Perlayeraux is an open-source language model by JIRU-W. Features: 10b LLM, VRAM: 7.4GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.37.

Custom code Dataset:jiru-w/olmoe-mix-0924-... Load-balancing Mask moe Mixture-of-experts Moe Olmoe Region:us Research Safetensors

Model Card on HF 🤗: https://huggingface.co/JIRU-W/e32_top8_seq2048_gbs128_10b_perlayeraux

E32 Top8 Seq2048 Gbs128 10B Perlayeraux Parameters and Internals

LLM Name	E32 Top8 Seq2048 Gbs128 10b Perlayeraux
Repository 🤗	https://huggingface.co/JIRU-W/e32_top8_seq2048_gbs128_10b_perlayeraux
Model Size	10b
Required VRAM	7.4 GB
Updated	2026-11-01
Maintainer	JIRU-W
Model Type	mask_moe
Model Files	7.4 GB
Model Architecture	MaskMoeForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	5.20.1
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|padding\|>
Vocabulary Size	50304

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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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