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

Yarn Llama 2 7B 128K GGML requires approximately 2.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Yarn Llama 2 7B 128K GGML 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 GGML?

Yarn Llama 2 7B 128K GGML 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 GGML by TheBloke — VRAM 2.9GB

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

Yarn Llama 2 7B 128K GGML is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.9GB, License: llama2, Quantized, LLM Explorer Score: 0.08.

Arxiv:2309.00071 Base model:finetune:nousresear... Base model:nousresearch/yarn-l... Dataset:pg19 Ggml Llama Quantized Region:us Yarn

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

Yarn Llama 2 7B 128K GGML Parameters and Internals

Model Type

llama

Additional Notes

The GGML format has now been superseded by GGUF. As of August 21st 2023, llama.cpp no longer supports GGML models.

Training Details

Data Sources:

PG19 dataset

Methodology:

Further pretrained on a subset of the PG19 dataset.

Context Length:

128000

LLM Name	Yarn Llama 2 7B 128K GGML
Repository 🤗	https://huggingface.co/TheBloke/Yarn-Llama-2-7B-128K-GGML
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	2.9 GB
Updated	2026-07-29
Maintainer	TheBloke
Model Type	llama
Model Files	2.9 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.2 GB 4.1 GB 3.8 GB 4.7 GB 5.1 GB 4.8 GB 4.7 GB 5.5 GB 7.1 GB
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	llama2

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