What are the hardware requirements for Meta Llama 3 15B Instruct?

Meta Llama 3 15B Instruct requires approximately 23.9 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 Meta Llama 3 15B Instruct and how large is it?

Meta Llama 3 15B Instruct is developed by win10, a model with 15b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Meta Llama 3 15B Instruct perform on standard benchmarks?

Meta Llama 3 15B Instruct has the following published scores: MMLU 67.3. Compare against reference models on this page or on the LLM Explorer leaderboards.

Meta Llama 3 15B Instruct by win10 — VRAM 23.9GB, 8K context

Name: Meta Llama 3 15B Instruct
Author: win10

Meta Llama 3 15B Instruct is an open-source language model by win10. Features: 15b LLM, VRAM: 23.9GB, Context: 8K, License: llama3, Instruction-Based, Merged, LLM Explorer Score: 0.14, Arc: 56, HellaSwag: 74.6, MMLU: 67.3, GSM8K: 23.7.

Merged Model Conversational En Endpoints compatible Instruct Llama Llama-3 Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/win10/Meta-Llama-3-15B-Instruct

Meta Llama 3 15B Instruct Parameters and Internals

Model Type

text generation

Additional Notes

This model was created by merging pre-trained language models using the passthrough merge method and slice configuration as detailed in the YAML configuration. It uses bfloat16 data type.

LLM Name	Meta Llama 3 15B Instruct
Repository 🤗	https://huggingface.co/win10/Meta-Llama-3-15B-Instruct
Merged Model	Yes
Model Size	15b
Required VRAM	23.9 GB
Updated	2026-08-01
Maintainer	win10
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.1 GB: 5-of-5
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 15B Instruct 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 Meta Llama 3 15B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Hamanasu 15B Instruct	16K / 29.4 GB	473	9
L3 Aethora 15B V2	8K / 30.1 GB	22	42
OpenCrystal 15B L3 V3	8K / 30 GB	13	10
OpenCrystal L3 15B V2.1	8K / 30 GB	3	5
OpenCrystal 15B L3 V2	8K / 30 GB	3	6
Llama 3 15B Instruct Ft V2	8K / 30.1 GB	13	4
Llama 3 15B Instruct Zeroed Ft	8K / 30.1 GB	19	2
L3 Aethora 15B V2	8K / 30.1 GB	29	44
LLaMa 3 Stheno V3.2 15B	8K / 30 GB	17	5
L3 NA Aethora 15B	8K / 30.1 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than win10/Meta-Llama-3-15B-Instruct.