What are the hardware requirements for Llama3 8B?

Llama3 8B requires approximately 16.1 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 Llama3 8B and how large is it?

Llama3 8B is developed by Revanthmahesh, 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 Llama3 8B?

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

Llama3 8B by Revanthmahesh — VRAM 16.1GB, 8K context

Name: Llama3 8B
Author: Revanthmahesh

Llama3 8B is an open-source language model by Revanthmahesh. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.12.

Conversational En Endpoints compatible Facebook Llama Llama-3 Meta Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Revanthmahesh/llama3-8b

Llama3 8B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

commercial, research

Applications:

assistant-like chat, natural language generation tasks

Limitations:

Use in languages other than English outside the scope

Considerations:

Developers may fine-tune for other languages in compliance with the Community License.

Supported Languages

en (high)

Training Details

Data Sources:

publicly available instruction datasets, human-annotated examples

Data Volume:

15 trillion tokens

Methodology:

supervised fine-tuning and reinforcement learning with human feedback

Context Length:

8000

Hardware Used:

H100 80GB GPUs

Model Architecture:

auto-regressive Transformer

Safety Evaluation

Methodologies:

red teaming, adversarial evaluations

Risk Categories:

misinformation, bias, child safety

Ethical Considerations:

Steps taken to limit misuse and promote responsible AI development.

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

text and code

Release Notes

Date:

April 18, 2024

Notes:

Initial release of Llama 3 with a focus on safety and commercial readiness.

LLM Name	Llama3 8B
Repository 🤗	https://huggingface.co/Revanthmahesh/llama3-8b
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-05-14
Maintainer	Revanthmahesh
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
Model Architecture	AutoModelForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3 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

Best Alternatives to Llama3 8B

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.1 8B Instuct Uz	128K / 16.1 GB	1000	15
Trillama 8B	8K / 16.1 GB	14	3
AutogenJune2000	8K / 33.8 GB	6	0
NewMes V15	0K / 16.1 GB	409	18
Cve Model	0K / 0.3 GB	16	0
Shaista Pro	0K / 0 GB	10	0
...Datasets Layer 1 Decoder Fixed	0K / 0.7 GB	672	0
Medllama3 V20	0K / 16.1 GB	25328	78
ConfTuner Ministral	0K / 16.1 GB	13	4
...llem V1 Smilebase Llama 3.1 8B	0K / 1.1 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than Revanthmahesh/llama3-8b.