What are the hardware requirements for Yarn Llama 2 7B 64K GGML?

Yarn Llama 2 7B 64K 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 64K GGML and how large is it?

Yarn Llama 2 7B 64K 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 64K GGML?

Yarn Llama 2 7B 64K 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 64K GGML by TheBloke — VRAM 2.9GB

Name: Yarn Llama 2 7B 64K GGML
Author: TheBloke

Yarn Llama 2 7B 64K GGML is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.9GB, License: llama2, Quantized, LLM Explorer Score: 0.09.

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-64K-GGML

Yarn Llama 2 7B 64K GGML Benchmarks

LLME Score: 0.09014

^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)

Yarn Llama 2 7B 64K GGML (TheBloke/Yarn-Llama-2-7B-64K-GGML)

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Yarn Llama 2 7B 64K GGML Parameters and Internals

Model Type

llama

Use Cases

Areas:

research

Applications:

language modeling, natural language processing

Primary Use Cases:

long context language modeling

Additional Notes

The model has been quantized by TheBloke to different formats for performance optimization.

Training Details

Data Sources:

PG19 dataset

Methodology:

Further pretraining for long context support

Context Length:

64000

LLM Name	Yarn Llama 2 7B 64K GGML
Repository 🤗	https://huggingface.co/TheBloke/Yarn-Llama-2-7B-64K-GGML
Model Name	Yarn Llama 2 7B 64K
Model Creator	NousResearch
Base Model(s)	Yarn Llama 2 7B 64K NousResearch/Yarn-Llama-2-7b-64k
Model Size	7b
Required VRAM	2.9 GB
Updated	2026-05-04
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

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Yarn Llama 2 7B 128K GGML	0K / 2.9 GB	9	6
CodeLlama 7B GGML	0K / 3 GB	16	27
CodeLlama 7B Python GGML	0K / 2.9 GB	14	24
CodeLlama 7B Instruct GGML	0K / 3 GB	14	20
Airoboros L2 7B 2.1 GGML	0K / 2.9 GB	2	1
Zarafusionex 1.1 L2 7B GGML	0K / 2.9 GB	8	2
EDGE 0 7B GGML	0K / 2.9 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yarn-Llama-2-7B-64K-GGML.

Rank the Yarn Llama 2 7B 64K GGML Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Yarn Llama 2 7B 64K GGML by TheBloke

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Yarn Llama 2 7B 64K GGML Benchmarks

Yarn Llama 2 7B 64K GGML Parameters and Internals

Best Alternatives to Yarn Llama 2 7B 64K GGML

Rank the Yarn Llama 2 7B 64K GGML Capabilities

What open-source LLMs or SLMs are you in search of? 53472 in total.