What are the hardware requirements for Llama 7B?

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

Who developed Llama 7B and how large is it?

Llama 7B is developed by huggyllama, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 7B perform on standard benchmarks?

Llama 7B has the following published scores: MMLU 35.69. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 7B by huggyllama — VRAM 13.5GB, 2K context

Name: Llama 7B
Rating: 3 (1 reviews)
Author: huggyllama

Llama 7B is an open-source language model by huggyllama. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, License: other, LLM Explorer Score: 0.2, Arc: 50.9, HellaSwag: 77.8, MMLU: 35.7, GSM8K: 8.

Conversational Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/huggyllama/llama-7b

Llama 7B Parameters and Internals

Additional Notes

Model weights intended for those who lost their copy or have trouble with format conversion, requiring prior access permission.

LLM Name	Llama 7B
Repository 🤗	https://huggingface.co/huggyllama/llama-7b
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-29
Maintainer	huggyllama
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
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.0.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 7B 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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