What are the hardware requirements for Llama 2 70B GGUF?

Llama 2 70B GGUF requires approximately 29.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 70B GGUF and how large is it?

Llama 2 70B GGUF is developed by TheBloke, a model with 70b 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 70B GGUF?

Llama 2 70B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 70B GGUF by TheBloke — VRAM 29.3GB

Name: Llama 2 70B GGUF
Author: TheBloke

Llama 2 70B GGUF is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 29.3GB, License: llama2, Quantized, LLM Explorer Score: 0.09.

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-2-70B-GGUF

Llama 2 70B GGUF Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

commercial use, research

Primary Use Cases:

assistant-like chat, natural language generation tasks

Considerations:

Specific formatting needed for expected features, including special tokens and tags.

Additional Notes

Llama 2 models perform best with English datasets.

Supported Languages

en (proficient)

Training Details

Data Sources:

A new mix of publicly available online data

Data Volume:

2.0T tokens

Methodology:

auto-regressive language model

Context Length:

4000

Training Time:

January 2023 - July 2023

Hardware Used:

Meta's Research Super Cluster, production clusters, A100-80GB GPUs

Model Architecture:

optimized transformer architecture with Grouped-Query Attention (GQA) for improved inference scalability

Input Output

Input Format:

Expected text format with 'INST' and '<>' tags, 'BOS' and 'EOS' tokens

Accepted Modalities:

text

Output Format:

text generation

Performance Tips:

Proper formatting required for intended outputs.

LLM Name	Llama 2 70B GGUF
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-70B-GGUF
Model Name	Llama 2 70B
Model Creator	Meta Llama 2
Base Model(s)	Llama 2 70B Hf meta-llama/Llama-2-70b-hf
Model Size	70b
Required VRAM	29.3 GB
Updated	2026-07-29
Maintainer	TheBloke
Model Type	llama
Model Files	29.3 GB 36.1 GB 33.2 GB 29.9 GB 38.9 GB 41.4 GB 39.1 GB 47.5 GB 48.8 GB 47.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Llama 2 70B 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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-70B-GGUF.