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

Llama 2 70B Chat 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 Chat GGUF and how large is it?

Llama 2 70B Chat 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 Chat GGUF?

Llama 2 70B Chat 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 Chat GGUF by TheBloke — VRAM 29.3GB

Name: Llama 2 70B Chat GGUF
Author: TheBloke

Llama 2 70B Chat GGUF is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 29.3GB, License: llama2, Quantized, LLM Explorer Score: 0.11.

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-Chat-GGUF

Llama 2 70B Chat GGUF Parameters and Internals

Model Type

llama

Use Cases

Areas:

Commercial, Research

Applications:

Assistant-like chat, Variety of natural language generation tasks

Limitations:

May produce inaccurate or biased outputs, Tested only in English

Considerations:

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

Supported Languages

English (proficient)

Training Details

Data Sources:

Publicly available online data

Data Volume:

2 trillion tokens

Methodology:

Supervised fine-tuning and reinforcement learning with human feedback

Hardware Used:

Meta's Research Super Cluster and production clusters

Model Architecture:

Optimized transformer architecture

Safety Evaluation

Ethical Considerations:

Model may produce inaccurate, biased, or objectionable responses. Safety testing is required before deployment.

Input Output

Input Format:

Text

Accepted Modalities:

text

Output Format:

Text

Release Notes

Notes:

The model is fine-tuned for dialogue use cases.

LLM Name	Llama 2 70B Chat GGUF
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-70B-Chat-GGUF
Model Name	Llama 2 70B Chat
Model Creator	Meta Llama 2
Base Model(s)	Llama 2 70B Chat Hf meta-llama/Llama-2-70b-chat-hf
Model Size	70b
Required VRAM	29.3 GB
Updated	2026-08-07
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 30.6 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Llama 2 70B Chat GGUF capabilities

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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-Chat-GGUF.