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

Llama 2 7B 32K Instruct GGUF requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Llama 2 7B 32K Instruct GGUF 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 GGUF?

Llama 2 7B 32K Instruct GGUF 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 GGUF by TheBloke — VRAM 2.8GB

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

Llama 2 7B 32K Instruct GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

Arxiv:2307.03172 Base model:quantized:togetherc... Base model:togethercomputer/ll... Dataset:togethercomputer/llama... En Gguf Instruct Llama Quantized Region:us

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

Llama 2 7B 32K Instruct GGUF Parameters and Internals

Model Type

llama

Additional Notes

Llama-2-7B-32K-Instruct uses GGUF format which is a replacement for GGML, supporting better tokenization and metadata.

Training Details

Data Sources:

togethercomputer/llama-instruct

Input Output

Input Format:

[INST] {prompt} [\INST]

LLM Name	Llama 2 7B 32K Instruct GGUF
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-7B-32K-Instruct-GGUF
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	2.8 GB
Updated	2026-07-19
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	2.8 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Llama 2 7B 32K Instruct GGUF 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 7B 32K Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0
Qwen2 7B Instruct V0.1 GGUF	0K / 4.5 GB	9714	0
Qwen2 7B Instruct V0.7 GGUF	0K / 4.5 GB	9530	0
Qwen2 7B Instruct V0.3 GGUF	0K / 4.5 GB	8911	1

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