What are the hardware requirements for Meta Llama 3 70B Instruct GPTQ?

Meta Llama 3 70B Instruct GPTQ requires approximately 39.8 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 70B Instruct GPTQ and how large is it?

Meta Llama 3 70B Instruct GPTQ is developed by MaziyarPanahi, a model with 70b 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 Meta Llama 3 70B Instruct GPTQ?

Meta Llama 3 70B Instruct GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3 70B Instruct GPTQ by MaziyarPanahi — VRAM 39.8GB, 8K context

Name: Meta Llama 3 70B Instruct GPTQ
Author: MaziyarPanahi

Meta Llama 3 70B Instruct GPTQ is an open-source language model by MaziyarPanahi. Features: 70b LLM, VRAM: 39.8GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4-bit Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam... Conversational Deploy:azure En Endpoints compatible Facebook Finetuned Gptq Has space Instruct Llama Llama-3 Meta Pytorch Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ

Meta Llama 3 70B Instruct GPTQ Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research, commercial applications

Additional Notes

Quantized version (GPTQ) of Meta-Llama-3-70B-Instruct, finetuned and optimized for 4-bit performance.

Supported Languages

en (proficient)

Input Output

Accepted Modalities:

text

Output Format:

generated text

LLM Name	Meta Llama 3 70B Instruct GPTQ
Repository 🤗	https://huggingface.co/MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ
Model Name	Meta-Llama-3-70B-Instruct-GPTQ
Model Creator	meta-llama
Base Model(s)	Meta Llama 3 70B Instruct meta-llama/Meta-Llama-3-70B-Instruct
Model Size	70b
Required VRAM	39.8 GB
Updated	2026-07-18
Maintainer	MaziyarPanahi
Model Type	llama
Instruction-Based	Yes
Model Files	39.8 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.39.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Meta Llama 3 70B Instruct GPTQ 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 70B Instruct GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	517	6
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	129	0
...ama 3.1 70B Instruct Gptq 4bit	128K / 39.9 GB	7	4
...ta Llama 3 70B Instruct Marlin	8K / 39.5 GB	141	6
...ama 3 Taiwan 70B Instruct GPTQ	8K / 39.8 GB	6	2
Meta Llama 3 70B Instruct GPTQ	8K / 39.8 GB	905	16
...g Llama 3 70B Instruct GPTQ 4B	8K / 39.8 GB	6	0
...g Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	3	1
...a Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	17	0
...erkrautLM 70B Instruct GPTQ 8B	8K / 74.4 GB	4	1

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ.