What are the hardware requirements for Llama 3.3 70B Instruct AWQ?

Llama 3.3 70B Instruct AWQ requires approximately 39.9 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 3.3 70B Instruct AWQ and how large is it?

Llama 3.3 70B Instruct AWQ is developed by casperhansen, 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 Llama 3.3 70B Instruct AWQ?

Llama 3.3 70B Instruct AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.3 70B Instruct AWQ by casperhansen — VRAM 39.9GB, 128K context

Name: Llama 3.3 70B Instruct AWQ
Author: casperhansen

Llama 3.3 70B Instruct AWQ is an open-source language model by casperhansen. Features: 70b LLM, VRAM: 39.9GB, Context: 128K, License: llama3.3, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

4-bit Awq Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Conversational De Deploy:azure En Endpoints compatible Es Fr Hi Instruct It Llama Pt Quantized Region:us Safetensors Sharded Tensorflow Th

Model Card on HF 🤗: https://huggingface.co/casperhansen/llama-3.3-70b-instruct-awq

Llama 3.3 70B Instruct AWQ Parameters and Internals

LLM Name	Llama 3.3 70B Instruct AWQ
Repository 🤗	https://huggingface.co/casperhansen/llama-3.3-70b-instruct-awq
Base Model(s)	meta-llama/Llama-3.1-70B meta-llama/Llama-3.1-70B
Model Size	70b
Required VRAM	39.9 GB
Updated	2026-07-28
Maintainer	casperhansen
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-9 4.9 GB: 2-of-9 4.9 GB: 3-of-9 4.9 GB: 4-of-9 4.9 GB: 5-of-9 4.9 GB: 6-of-9 4.9 GB: 7-of-9 3.4 GB: 8-of-9 2.1 GB: 9-of-9
Supported Languages	en fr it pt hi es th de
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	llama3.3
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3.3 70B Instruct AWQ capabilities

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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

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