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

Llama 2 13B GGUF requires approximately 5.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Llama 2 13B GGUF 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 GGUF?

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

Llama 2 13B GGUF by TheBloke — VRAM 5.4GB

Name: Llama 2 13B GGUF
Author: TheBloke

Llama 2 13B GGUF is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.4GB, License: llama2, Quantized, LLM Explorer Score: 0.1.

Arxiv:2307.09288 Base model:meta-llama/llama-2-... Base model:quantized:meta-llam... En Facebook Gguf Llama Llama2 Meta Pytorch Quantized Region:us

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

Llama 2 13B GGUF Parameters and Internals

Model Type

llama, text-generation

Use Cases

Areas:

commercial, research

Primary Use Cases:

assistant-like chat, natural language generation tasks

Considerations:

Developers should perform safety testing and tuning tailored to their specific applications

Additional Notes

Models outperform open-source chat models on most benchmarks tested.

Training Details

Data Sources:

publicly available online data

Data Volume:

2 trillion tokens

Methodology:

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

Context Length:

4096

Hardware Used:

Meta's Research Super Cluster, and production clusters, third-party cloud compute

Model Architecture:

auto-regressive language model with an optimized transformer architecture

Responsible Ai Considerations

Mitigation Strategies:

Please see the Responsible Use Guide available at https://ai.meta.com/llama/responsible-use-guide/

Input Output

Input Format:

{prompt}

Accepted Modalities:

text

Output Format:

text

LLM Name	Llama 2 13B GGUF
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-13B-GGUF
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	5.4 GB
Updated	2026-07-26
Maintainer	TheBloke
Model Type	llama
Model Files	5.4 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 7.9 GB 7.4 GB 9.0 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Llama 2 13B 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 13B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
MythoMax L2 13B GGUF	0K / 5.4 GB	33388	262
WhiteRabbitNeo 13B GGUF	0K / 5.4 GB	8943	62
Llama 3 13B Instruct V0.1 GGUF	0K / 5.1 GB	1940	5
Hermes 2 Pro Llama 3 13B GGUF	0K / 4.6 GB	149	1
Llama3 13B Ku GGUF	0K / 8.7 GB	52	0
...aMa 3 Instruct Zeroed 13B GGUF	0K / 5 GB	42	1
LLaMa 3 Base Zeroed 13B GGUF	0K / 5 GB	16	1
Model1	0K / 13.8 GB	16	0
Codellama 7B Instruct GGUF	0K / 2.8 GB	166	1
LlaMAndement 13B GGUF	0K / 4.8 GB	213	0

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