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

Llama 2 13B GGML requires approximately 5.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Llama 2 13B GGML 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 GGML?

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

Llama 2 13B GGML by TheBloke — VRAM 5.5GB

Name: Llama 2 13B GGML
Author: TheBloke

Llama 2 13B GGML is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.5GB, License: llama2, Quantized, LLM Explorer Score: 0.08.

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

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

Llama 2 13B GGML Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

Research, Commercial applications

Applications:

Assistant-like chat, Natural Language Generation tasks

Primary Use Cases:

Commercial and research use in English

Limitations:

Use in languages other than English is out-of-scope., Use in any manner that violates applicable laws or regulations is out-of-scope.

Considerations:

Pre-deploy safety testing and tuning recommended.

Additional Notes

The model is optimized for dialogue use cases and provides substantial performance improvements.

Training Details

Data Sources:

A new mix of publicly available online data

Data Volume:

2.0 trillion tokens

Methodology:

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

Context Length:

4000

Training Time:

368,640 GPU hours

Hardware Used:

A100-80GB GPUs

Model Architecture:

Auto-regressive language model based on transformer architecture

Input Output

Input Format:

Text input

Accepted Modalities:

text

Output Format:

Text generation

LLM Name	Llama 2 13B GGML
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-13B-GGML
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	5.5 GB
Updated	2026-07-20
Maintainer	TheBloke
Model Type	llama
Model Files	5.5 GB 6.9 GB 6.3 GB 5.7 GB 7.3 GB 8.1 GB 7.9 GB 7.4 GB 8.9 GB 9.8 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	llama2

Rank the Llama 2 13B GGML 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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Llama 2 13B Chat GGML	0K / 5.5 GB	158	693
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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-13B-GGML.