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

Llama 3.1 Storm 8B requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Llama 3.1 Storm 8B 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?

Llama 3.1 Storm 8B 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 by akjindal53244 — VRAM 16.1GB, 128K context

Name: Llama 3.1 Storm 8B
Rating: 2.5 (16 reviews)
Author: akjindal53244

Llama 3.1 Storm 8B is an open-source language model by akjindal53244. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.25.

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

Llama 3.1 Storm 8B 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

Primary Use Cases:

Conversational AI, Function Calling

Additional Notes

Model merging was done using SLERP method with Llama-Spark model.

Supported Languages

en (Proficient), de (Proficient), fr (Proficient), it (Proficient), pt (Proficient), hi (Proficient), es (Proficient), th (Proficient)

Training Details

Data Sources:

open-source data

Data Volume:

~2.8 million examples

Methodology:

Self-Curation and Spectrum-based targeted fine-tuning

Model Architecture:

Llama

Input Output

Input Format:

Transformed user queries using chat-template

Accepted Modalities:

text

Output Format:

Generated text responses

Performance Tips:

Use bfloat16 model type for optimal performance.

LLM Name	Llama 3.1 Storm 8B
Repository 🤗	https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-25
Maintainer	akjindal53244
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en de fr it pt hi es th
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 Storm 8B 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

Quantized Models of the Llama 3.1 Storm 8B

Model	Likes	Downloads	VRAM
Llama 3.1 Storm 8B GGUF	40	599	4 GB

Best Alternatives to Llama 3.1 Storm 8B

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...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...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