What are the hardware requirements for Llama 2 7B Hf?

Llama 2 7B Hf requires approximately 13.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 7B Hf and how large is it?

Llama 2 7B Hf is developed by YingdaLi, 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 Hf?

Llama 2 7B Hf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B Hf by YingdaLi — VRAM 13.5GB, 4K context

Name: Llama 2 7B Hf
Author: YingdaLi

Llama 2 7B Hf is an open-source language model by YingdaLi. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, LLM Explorer Score: 0.18.

Arxiv:2307.09288 En Facebook Llama Llama2 Meta Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/YingdaLi/Llama-2-7b-hf

Llama 2 7B Hf Parameters and Internals

LLM Name	Llama 2 7B Hf
Repository 🤗	https://huggingface.co/YingdaLi/Llama-2-7b-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-08
Maintainer	YingdaLi
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 7B Hf 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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162	1024K / 16.1 GB	60
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118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
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Note: green Score (e.g. "73.2") means that the model is better than YingdaLi/Llama-2-7b-hf.