What are the hardware requirements for Llama 2 13B AWQ?

Llama 2 13B AWQ requires approximately 7.2 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 13B AWQ and how large is it?

Llama 2 13B AWQ is developed by TheBloke, a model with 13b 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 2 13B AWQ?

Llama 2 13B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 13B AWQ by TheBloke — VRAM 7.2GB, 4K context

Name: Llama 2 13B AWQ
Author: TheBloke

Llama 2 13B AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.09.

Arxiv:2307.09288 4-bit Awq Base model:meta-llama/llama-2-... Base model:quantized:meta-llam... Deploy:azure En Facebook Llama Llama2 Meta Pytorch Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-13B-AWQ

Llama 2 13B AWQ Parameters and Internals

Model Type

llama

Training Details

Data Sources:

A new mix of publicly available online data

Data Volume:

2 trillion tokens

Methodology:

Pretraining and fine-tuning with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)

Hardware Used:

A100-80GB GPUs

Model Architecture:

Auto-regressive language model using an optimized transformer architecture

Input Output

Input Format:

Text-only inputs

Output Format:

Generates text only

LLM Name	Llama 2 13B AWQ
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-13B-AWQ
Model Name	Llama 2 13B
Model Creator	Meta
Base Model(s)	Llama 2 13B Hf meta-llama/Llama-2-13b-hf
Model Size	13b
Required VRAM	7.2 GB
Updated	2026-07-18
Maintainer	TheBloke
Model Type	llama
Model Files	7.2 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 13B AWQ 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 Llama 2 13B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Yarn Llama 2 13B 128K AWQ	128K / 7.2 GB	4	2
LongAlign 13B 64K AWQ	64K / 7.2 GB	4	2
...oboros L2 13B 2 1 YaRN 64K AWQ	64K / 7.2 GB	5	2
OrcaMaid V3 13B 32K AWQ	32K / 7.2 GB	5	4
OrcaMaid V2 FIX 13B 32K AWQ	32K / 7.2 GB	7	1
NexusRaven V2 13B AWQ	16K / 7.2 GB	11	3
NexusRaven V2 13B AWQ	16K / 7.2 GB	1	3
...th CodeLlama 13B Python Hf AWQ	16K / 7.5 GB	6	0
WhiteRabbitNeo 13B AWQ	16K / 7.2 GB	332	4
NexusRaven V2 13B AWQ	16K / 7.2 GB	10	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-13B-AWQ.