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

Llama 2 7B Chat Hf GPTQ Safetensors requires approximately 3.6 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 Chat Hf GPTQ Safetensors and how large is it?

Llama 2 7B Chat Hf GPTQ Safetensors is developed by simaai, 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 2 7B Chat Hf GPTQ Safetensors perform on standard benchmarks?

Llama 2 7B Chat Hf GPTQ Safetensors has the following published scores: MMLU 48.32, LMSYS ELO 1052. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 2 7B Chat Hf GPTQ Safetensors by simaai — VRAM 3.6GB, 4K context

Name: Llama 2 7B Chat Hf GPTQ Safetensors
Author: simaai

Llama 2 7B Chat Hf GPTQ Safetensors is an open-source language model by simaai. Features: 7b LLM, VRAM: 3.6GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.37, ELO: 1052, Arc: 52.9, HellaSwag: 78.6, MMLU: 48.3, GSM8K: 7.4.

Base model:meta-llama/llama-2-... Base model:quantized:meta-llam... Compressed-tensors Conversational Gptq Int4 Llama Quantized Region:us Safetensors Simaai

Model Card on HF 🤗: https://huggingface.co/simaai/Llama-2-7B-chat-hf-GPTQ-Safetensors

Llama 2 7B Chat Hf GPTQ Safetensors Benchmarks

LMSys ELO 1052 vs 1272 (so35) -17.3%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 2 7B Chat Hf GPTQ Safetensors Parameters and Internals

LLM Name	Llama 2 7B Chat Hf GPTQ Safetensors
Repository 🤗	https://huggingface.co/simaai/Llama-2-7B-chat-hf-GPTQ-Safetensors
Base Model(s)	Llama 2 7B Chat Hf meta-llama/Llama-2-7b-chat-hf
Model Size	7b
Required VRAM	3.6 GB
Updated	2026-10-22
Maintainer	simaai
Model Type	llama
Model Files	3.6 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	5.10.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000

Rank the Llama 2 7B Chat Hf GPTQ Safetensors 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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