What are the hardware requirements for Llama 3.1 8B Instruct 4x1 MoE?

Llama 3.1 8B Instruct 4x1 MoE requires approximately 50.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 8B Instruct 4x1 MoE and how large is it?

Llama 3.1 8B Instruct 4x1 MoE is developed by Jongbin-kr, a model with 8b 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 3.1 8B Instruct 4x1 MoE?

Llama 3.1 8B Instruct 4x1 MoE is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Instruct 4x1 MoE by Jongbin-kr — VRAM 50.2GB, 128K context

Name: Llama 3.1 8B Instruct 4x1 MoE
Author: Jongbin-kr

Llama 3.1 8B Instruct 4x1 MoE is an open-source language model by Jongbin-kr. Features: 8b LLM, VRAM: 50.2GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.28.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Custom code Instruct Llama Moe Region:us Safetensors Sharded Sparse-upcycling Tensorflow Upcycled llama

Model Card on HF 🤗: https://huggingface.co/Jongbin-kr/llama-3.1-8b-instruct-4x1-moe

Llama 3.1 8B Instruct 4x1 MoE Parameters and Internals

LLM Name	Llama 3.1 8B Instruct 4x1 MoE
Repository 🤗	https://huggingface.co/Jongbin-kr/llama-3.1-8b-instruct-4x1-moe
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	50.2 GB
Updated	2026-08-25
Maintainer	Jongbin-kr
Model Type	upcycled_llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-11 5.0 GB: 2-of-11 4.9 GB: 3-of-11 5.0 GB: 4-of-11 5.0 GB: 5-of-11 4.9 GB: 6-of-11 5.0 GB: 7-of-11 5.0 GB: 8-of-11 4.9 GB: 9-of-11 5.0 GB: 10-of-11 0.6 GB: 11-of-11
Model Architecture	UpcycledLlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 8B Instruct 4x1 MoE 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

Best Alternatives to Llama 3.1 8B Instruct 4x1 MoE

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.1 8B Instruct 4x2 MoE	128K / 50.2 GB	41	0

Note: green Score (e.g. "73.2") means that the model is better than Jongbin-kr/llama-3.1-8b-instruct-4x1-moe.