What are the hardware requirements for MoE Llama3 8bx2 Rag?

MoE Llama3 8bx2 Rag 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 MoE Llama3 8bx2 Rag and how large is it?

MoE Llama3 8bx2 Rag is developed by S-miguel, 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 MoE Llama3 8bx2 Rag?

MoE Llama3 8bx2 Rag is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MoE Llama3 8bx2 Rag by S-miguel — VRAM 27.3GB, 8K context

Name: MoE Llama3 8bx2 Rag
Author: S-miguel

MoE Llama3 8bx2 Rag is an open-source language model by S-miguel. Features: 13.7b LLM, VRAM: 27.3GB, Context: 8K, License: llama3, MoE, Instruction-Based, LLM Explorer Score: 0.13.

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

Model Card on HF 🤗: https://huggingface.co/S-miguel/Moe_llama3_8bx2_Rag

MoE Llama3 8bx2 Rag Parameters and Internals

LLM Name	MoE Llama3 8bx2 Rag
Repository 🤗	https://huggingface.co/S-miguel/Moe_llama3_8bx2_Rag
Model Size	13.7b
Required VRAM	27.3 GB
Updated	2026-08-07
Maintainer	S-miguel
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
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|begin_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the MoE Llama3 8bx2 Rag 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 MoE Llama3 8bx2 Rag

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
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	29	4
Llama 3 Teal Instruct 2x8B MoE	8K / 27.3 GB	8	0
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 S-miguel/Moe_llama3_8bx2_Rag.