What are the hardware requirements for Llama 2 7B Chat 4bit Gptq?

Llama 2 7B Chat 4bit Gptq requires approximately 3.9 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 4bit Gptq and how large is it?

Llama 2 7B Chat 4bit Gptq is developed by hoang1123, 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 Chat 4bit Gptq?

Llama 2 7B Chat 4bit Gptq is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B Chat 4bit Gptq by hoang1123 — VRAM 3.9GB, 4K context

Name: Llama 2 7B Chat 4bit Gptq
Author: hoang1123

Llama 2 7B Chat 4bit Gptq is an open-source language model by hoang1123. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, Quantized, LLM Explorer Score: 0.12.

Arxiv:1910.09700 4-bit 4bit Endpoints compatible Gptq Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/hoang1123/Llama-2-7b-chat-4bit-gptq

Llama 2 7B Chat 4bit Gptq Parameters and Internals

LLM Name	Llama 2 7B Chat 4bit Gptq
Repository 🤗	https://huggingface.co/hoang1123/Llama-2-7b-chat-4bit-gptq
Base Model(s)	Llama 2 7B Chat Hf 4bits Q AAProject/Llama-2-7b-chat-hf-4bits-Q
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-07-28
Maintainer	hoang1123
Model Type	llama
Model Files	3.9 GB
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

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