What are the hardware requirements for Llama 3 Teal Instruct 2x8B MoE?

Llama 3 Teal Instruct 2x8B MoE requires approximately 27.3 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 Teal Instruct 2x8B MoE and how large is it?

Llama 3 Teal Instruct 2x8B MoE is developed by RDson, a model with 13.7b 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 Teal Instruct 2x8B MoE?

Llama 3 Teal Instruct 2x8B MoE is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 Teal Instruct 2x8B MoE by RDson — VRAM 27.3GB, 8K context

Name: Llama 3 Teal Instruct 2x8B MoE
Author: RDson

Llama 3 Teal Instruct 2x8B MoE is an open-source language model by RDson. Features: 13.7b LLM, VRAM: 27.3GB, Context: 8K, MoE, Instruction-Based, LLM Explorer Score: 0.12.

2x8b 3 Conversational Endpoints compatible Instruct Llama Llama 3 Mixtral Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/RDson/Llama-3-Teal-Instruct-2x8B-MoE

Llama 3 Teal Instruct 2x8B MoE Parameters and Internals

Model Type

Multimodal, Instruction-based, Expert, MoE

Additional Notes

This is an experimental MoE model combining Meta-Llama-3-8B-Instruct and NVIDIA's Llama3-ChatQA-1.5-8B using Mergekit.

Training Details

Methodology:

MoE (Mixture of Experts)

LLM Name	Llama 3 Teal Instruct 2x8B MoE
Repository 🤗	https://huggingface.co/RDson/Llama-3-Teal-Instruct-2x8B-MoE
Model Size	13.7b
Required VRAM	27.3 GB
Updated	2026-05-21
Maintainer	RDson
Model Type	mixtral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-6 4.9 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 4.9 GB: 5-of-6 2.5 GB: 6-of-6
Model Architecture	MixtralForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|begin_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 Teal Instruct 2x8B 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 Teal Instruct 2x8B MoE

Best Alternatives	Context / RAM	Downloads	Likes
L3.1 Celestial Stone 2x8B	128K / 27.3 GB	312	3
...ma 3 2x8B Instruct MoE 64K Ctx	64K / 27.3 GB	12	4
Defne Llama3 2x8B	8K / 27.4 GB	15	6
Inixion 2x8B V2	8K / 27.4 GB	6	2
MoE Llama3 8bx2 Rag	8K / 27.3 GB	7	0
Inixion 2x8B	8K / 27.5 GB	9	1
Llama 3 Chatty 2x8B	8K / 27.3 GB	6	11
FinalFintetuning XVIII 2x8B	8K / 27.5 GB	11	4
Llama 3 8Bx2 MoE DPO	8K / 27.4 GB	4	1
...lama3 2x8b MoE 41K Experiment1	8K / 27.3 GB	5	2

Note: green Score (e.g. "73.2") means that the model is better than RDson/Llama-3-Teal-Instruct-2x8B-MoE.