What are the hardware requirements for Llama 2 7B 32K Instruct AWQ?

Llama 2 7B 32K Instruct AWQ requires approximately 3.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 7B 32K Instruct AWQ and how large is it?

Llama 2 7B 32K Instruct AWQ is developed by TheBloke, a model with 7b 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 7B 32K Instruct AWQ?

Llama 2 7B 32K Instruct AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B 32K Instruct AWQ by TheBloke — VRAM 3.9GB, 32K context

Name: Llama 2 7B 32K Instruct AWQ
Author: TheBloke

Llama 2 7B 32K Instruct AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 32K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

Arxiv:2307.03172 4-bit Awq Base model:quantized:togetherc... Base model:togethercomputer/ll... Custom code Dataset:togethercomputer/llama... En Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-7B-32K-Instruct-AWQ

Llama 2 7B 32K Instruct AWQ Parameters and Internals

Model Type

llama

Use Cases

Areas:

research, commercial applications

Additional Notes

Model is optimized using AWQ (Efficient, accurate low-bit weight quantization).

Training Details

Data Sources:

togethercomputer/llama-instruct, BookSum dataset, Multi-document Question Answering

Data Volume:

19K instruction + BookSum (25%) + MQA (25%)

Methodology:

finetuned over high-quality instruction and chat data

Input Output

Input Format:

[INST] {prompt} [/INST]

Accepted Modalities:

text

Output Format:

text

LLM Name	Llama 2 7B 32K Instruct AWQ
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-7B-32K-Instruct-AWQ
Model Name	Llama2 7B 32K Instruct
Model Creator	Together
Base Model(s)	Llama 2 7B 32K Instruct togethercomputer/Llama-2-7B-32K-Instruct
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-07-22
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	3.9 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	32768
Model Max Length	32768
Transformers Version	4.31.0
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 7B 32K Instruct 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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-7B-32K-Instruct-AWQ.