What are the hardware requirements for Llama 3 16B Instruct V0.1?

Llama 3 16B Instruct V0.1 requires approximately 33.5 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 16B Instruct V0.1 and how large is it?

Llama 3 16B Instruct V0.1 is developed by MaziyarPanahi, a model with 11b 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 16B Instruct V0.1?

Llama 3 16B Instruct V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 16B Instruct V0.1 by MaziyarPanahi — VRAM 33.5GB, 8K context

Name: Llama 3 16B Instruct V0.1
Author: MaziyarPanahi

Llama 3 16B Instruct V0.1 is an open-source language model by MaziyarPanahi. Features: 11b LLM, VRAM: 33.5GB, Context: 8K, License: other, Instruction-Based, Merged, LLM Explorer Score: 0.12.

Merged Model Base model:finetune:maziyarpan... Base model:maziyarpanahi/llama... Conversational En Facebook Instruct Llama Llama-3 Meta Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Llama-3-16B-Instruct-v0.1

Llama 3 16B Instruct V0.1 Parameters and Internals

Model Type

text-generation

LLM Name	Llama 3 16B Instruct V0.1
Repository 🤗	https://huggingface.co/MaziyarPanahi/Llama-3-16B-Instruct-v0.1
Model Name	Llama-3-16B-Instruct-v0.1
Model Creator	MaziyarPanahi
Base Model(s)	MaziyarPanahi/Llama-3-11B-Instruct-v0.1 MaziyarPanahi/Llama-3-11B-Instruct-v0.1
Merged Model	Yes
Model Size	11b
Required VRAM	33.5 GB
Updated	2026-08-05
Maintainer	MaziyarPanahi
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-4 10.0 GB: 2-of-4 9.4 GB: 3-of-4 4.1 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.39.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 16B Instruct V0.1 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 16B Instruct V0.1

Model	Likes	Downloads	VRAM
Llama 3 16B Instruct V0.1 GGUF	9	502	6 GB
Llama 3 16B Instruct V0.1 AWQ	1	10	10 GB

Best Alternatives to Llama 3 16B Instruct V0.1

Best Alternatives	Context / RAM	Downloads	Likes
A6.1	1024K / 16.1 GB	130	0
...k PL 11B V3.0 Instruct Heretic	32K / 22.3 GB	149	0
Llama 3 11B Instruct RP GLUED	8K / 22.2 GB	4	3
Llama 3 11B Instruct	8K / 22.1 GB	6	3
Llama 3 Synatra 11B V1	8K / 23 GB	7	12
SyntheticMoist 11B V2	4K / 21.4 GB	7	3
Antares 11B V1	4K / 21.4 GB	16	2
MedMitsu Instruct 11B	4K / 21.4 GB	9	0
Tengentoppa 11B Instruct	2K / 23.2 GB	9	0
... 11B V2.5 Instruct FP8 Dynamic	32K / 11.5 GB	33	2

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Llama-3-16B-Instruct-v0.1.