What are the hardware requirements for Yarn Llama 2 7B 128K GPTQ?

Yarn Llama 2 7B 128K GPTQ requires approximately 3.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yarn Llama 2 7B 128K GPTQ and how large is it?

Yarn Llama 2 7B 128K GPTQ is developed by TheBloke, 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 Yarn Llama 2 7B 128K GPTQ?

Yarn Llama 2 7B 128K GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yarn Llama 2 7B 128K GPTQ by TheBloke — VRAM 3.9GB, 128K context

Name: Yarn Llama 2 7B 128K GPTQ
Author: TheBloke

Yarn Llama 2 7B 128K GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 128K, License: llama2, Quantized, LLM Explorer Score: 0.08.

Arxiv:2309.00071 4-bit Base model:nousresearch/yarn-l... Base model:quantized:nousresea... Custom code Dataset:pg19 Gptq Llama Quantized Region:us Safetensors Yarn

Model Card on HF 🤗: https://huggingface.co/TheBloke/Yarn-Llama-2-7B-128K-GPTQ

Yarn Llama 2 7B 128K GPTQ Parameters and Internals

Model Type

llama

LLM Name	Yarn Llama 2 7B 128K GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Yarn-Llama-2-7B-128K-GPTQ
Model Name	Yarn Llama 2 7B 128K
Model Creator	NousResearch
Base Model(s)	Yarn Llama 2 7B 128K NousResearch/Yarn-Llama-2-7b-128k
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-07-31
Maintainer	TheBloke
Model Type	llama
Model Files	3.9 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	131072
Model Max Length	131072
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Yarn Llama 2 7B 128K GPTQ 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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Yarn Llama 2 7B 64K GPTQ	64K / 3.9 GB	10	1
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...Calm2 7B Chat GPTQ Calib Ja 1K	32K / 4.4 GB	4	5
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Codebear 7B 4bit	16K / 3.9 GB	4	1
...a 7B Instruct GPTQ Calib Ja 1K	16K / 3.9 GB	6	0
Pandalyst 7B V1.2 GPTQ	16K / 3.9 GB	8	1
Tora Code 7B V1.0 GPTQ	16K / 3.9 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yarn-Llama-2-7B-128K-GPTQ.