What are the hardware requirements for Llama 3 4x8B?

Llama 3 4x8B requires approximately 49.9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 4x8B and how large is it?

Llama 3 4x8B is developed by FelixChao, a model with 24.9b 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 4x8B?

Llama 3 4x8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 4x8B by FelixChao — VRAM 49.9GB, 8K context

Name: Llama 3 4x8B
Author: FelixChao

Llama 3 4x8B is an open-source language model by FelixChao. Features: 24.9b LLM, VRAM: 49.9GB, Context: 8K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.12.

Arxiv:1910.09700 Conversational Endpoints compatible Instruct Mixtral Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/FelixChao/llama-3-4x8B

Llama 3 4x8B Parameters and Internals

LLM Name	Llama 3 4x8B
Repository 🤗	https://huggingface.co/FelixChao/llama-3-4x8B
Model Size	24.9b
Required VRAM	49.9 GB
Updated	2026-07-23
Maintainer	FelixChao
Model Type	mixtral
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-6 9.9 GB: 2-of-6 10.0 GB: 3-of-6 10.0 GB: 4-of-6 9.9 GB: 5-of-6 0.2 GB: 6-of-6
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|begin_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 4x8B 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 4x8B

Best Alternatives	Context / RAM	Downloads	Likes
L3.1 MoE 4x8B V0.2	128K / 50.1 GB	4	2
OpenCrystal V4 L3 4x8B	8K / 50 GB	5	2
L3 Arcania 4x8b	8K / 50 GB	42	29
...ama 3 Aplite Instruct 4x8B MoE	8K / 50 GB	10	39
Llama 3 8B Instruct MoE 2	8K / 50 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than FelixChao/llama-3-4x8B.