Llama 2 Models — Hardware Requirements

6 Llama 2 models from Meta and the community, from the smallest that runs in 3.1 GB of VRAM up to 69.0B parameters. Every row links to full quantization tables and GPU compatibility.

All Llama 2 Models by Size

ModelParamsContext
Llama 2 7B Chat HF6.7B
Llama 2 7B Chat HF6.7B4K
Llama 2 7B HF6.7B
Llama 2 13B Chat HF13.0B
Llama 2 13B HF13.0B
Llama 2 70B Chat HF69.0B
Llama 2 70B HF69.0B

How Llama 2 Compares — Benchmark Rating

Llama 2 70B HF is the highest-rated Llama 2 model with an overall benchmark rating of 68.2/100 — #7 among 75 open models. The top proprietary model, GPT 5.5, scores 88.8. Click a model to see its full benchmark breakdown.

GPT 5.5 · proprietary88.8
Claude Opus 4.7 · proprietary87.6
Claude Fable 5 · proprietary86.6
GPT 5.4 · proprietary86.6
Claude Opus 4.8 · proprietary84.4
Composite of normalized public benchmark scores (methodology) · Llama 2 · other models

Frequently Asked Questions

How much VRAM do I need to run a Llama 2 model?
The smallest Llama 2 model, Llama 2 7B Chat HF, runs from 3.1 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.
Which Llama 2 models can I run on a 16 GB GPU?
5 of 7 Llama 2 models fit in 16 GB of VRAM at some quantization, including Llama 2 7B Chat HF, Llama 2 7B Chat HF, Llama 2 7B HF.
What is the most popular Llama 2 model to run locally?
Llama 2 7B Chat HF is the most downloaded Llama 2 model in local-friendly quantized formats. It runs from 3.1 GB of VRAM.
How do Llama 2 models score on benchmarks?
Llama 2 70B HF leads the family with an overall benchmark rating of 68.2/100, ranking #7 among 75 open models, while the top proprietary model, GPT 5.5, scores 88.8. See the comparison chart above for the full standings.