What are the hardware requirements for Llama 3 8B RAG V1?

Llama 3 8B RAG V1 requires approximately 32.1 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 8B RAG V1 and how large is it?

Llama 3 8B RAG V1 is developed by glaiveai, 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 8B RAG V1?

Llama 3 8B RAG V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B RAG V1 by glaiveai — VRAM 32.1GB, 8K context

Name: Llama 3 8B RAG V1
Author: glaiveai

Llama 3 8B RAG V1 is an open-source language model by glaiveai. Features: 8b LLM, VRAM: 32.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.13.

Conversational Dataset:glaiveai/rag-v1 En Endpoints compatible Llama Rag Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/glaiveai/Llama-3-8B-RAG-v1

Llama 3 8B RAG V1 Parameters and Internals

Model Type

Retrieval-Augmented Generation, text generation

Use Cases

Primary Use Cases:

RAG tasks

Additional Notes

The model responds using specified Answer Modes: Grounded or Mixed, employing document citations.

Supported Languages

en (fluent)

Training Details

Data Sources:

glaiveai/RAG-v1

Methodology:

fine-tuning for RAG

Input Output

Input Format:

Prompt includes system and user roles with text to be answered.

Accepted Modalities:

text

Output Format:

Text generation with grounded information and citations.

Performance Tips:

Maintain prompt format used during fine-tuning.

LLM Name	Llama 3 8B RAG V1
Repository 🤗	https://huggingface.co/glaiveai/Llama-3-8B-RAG-v1
Model Size	8b
Required VRAM	32.1 GB
Updated	2026-07-07
Maintainer	glaiveai
Model Type	llama
Model Files	4.9 GB: 1-of-7 4.8 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 5.0 GB: 6-of-7 2.6 GB: 7-of-7
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
Vocabulary Size	128258
Torch Data Type	float32

Rank the Llama 3 8B RAG V1 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

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...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than glaiveai/Llama-3-8B-RAG-v1.