What are the hardware requirements for Llama 3.1 Storm 8B GGUF?

Llama 3.1 Storm 8B GGUF requires approximately 4.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 Storm 8B GGUF and how large is it?

Llama 3.1 Storm 8B GGUF is developed by akjindal53244, 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 Storm 8B GGUF?

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

Llama 3.1 Storm 8B GGUF by akjindal53244 — VRAM 4.9GB

Name: Llama 3.1 Storm 8B GGUF
Author: akjindal53244

Llama 3.1 Storm 8B GGUF is an open-source language model by akjindal53244. Features: 8b LLM, VRAM: 4.9GB, License: llama3.1, Quantized, LLM Explorer Score: 0.15.

Arxiv:1803.05457 Arxiv:2109.07958 Arxiv:2210.09261 Arxiv:2310.16049 Arxiv:2311.07911 Arxiv:2311.12022 Arxiv:2406.01574 Arxiv:2406.06623 Base model:akjindal53244/llama... Base model:quantized:akjindal5... Conversational De En Endpoints compatible Es Fr Function calling Gguf Hi Instruction following It Llama Llama-3.1 Pt Quantized Reasoning Region:us Th

Model Card on HF 🤗: https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B-GGUF

Llama 3.1 Storm 8B GGUF Parameters and Internals

Model Type

text generation, conversational, instruction following, reasoning, function calling

Use Cases

Areas:

research, commercial applications

Applications:

instruction following, knowledge-driven QA, reasoning, truthful answer generation, function calling, generalist applications

Primary Use Cases:

instruction-following, knowledge-driven QA benchmarks, reasoning, function-calling

Additional Notes

Llama-3.1-Storm-8B merges fine-tuned model with Llama-Spark using SLERP to improve characteristics.

Supported Languages

en (English), de (German), fr (French), it (Italian), pt (Portuguese), hi (Hindi), es (Spanish), th (Thai)

Training Details

Data Sources:

open-source examples

Data Volume:

~1 million examples selected from ~2.8 million

Methodology:

Self-Curation, Spectrum-based targeted fine-tuning, SLERP model merging

Context Length:

16000

Training Time:

Unknown

Hardware Used:

Unknown

Model Architecture:

Unknown

Input Output

Input Format:

Prompt input

Accepted Modalities:

text

Output Format:

Generated text

Release Notes

Version:

Unknown

Date:

Unknown

Notes:

Introduction of GGUF quantized version for use with llama.cpp

LLM Name	Llama 3.1 Storm 8B GGUF
Repository 🤗	https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B-GGUF
Base Model(s)	akjindal53244/Llama-3.1-Storm-8B akjindal53244/Llama-3.1-Storm-8B
Model Size	8b
Required VRAM	4.9 GB
Updated	2026-07-24
Maintainer	akjindal53244
Model Type	llama
Model Files	4.9 GB 5.7 GB 6.6 GB 8.5 GB
Supported Languages	en de fr it pt hi es th
GGUF Quantization	Yes
Quantization Type	gguf
License	llama3.1

Rank the Llama 3.1 Storm 8B GGUF capabilities

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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