What are the hardware requirements for Yarn Llama 2 13B 64K GGUF?

Yarn Llama 2 13B 64K GGUF requires approximately 5.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yarn Llama 2 13B 64K GGUF and how large is it?

Yarn Llama 2 13B 64K GGUF is developed by TheBloke, a model with 13b 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 13B 64K GGUF?

Yarn Llama 2 13B 64K GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yarn Llama 2 13B 64K GGUF by TheBloke — VRAM 5.4GB

Name: Yarn Llama 2 13B 64K GGUF
Author: TheBloke

Yarn Llama 2 13B 64K GGUF is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.4GB, License: llama2, Quantized, LLM Explorer Score: 0.09.

Arxiv:2309.00071 Base model:nousresearch/yarn-l... Base model:quantized:nousresea... Dataset:pg19 Gguf Llama Quantized Region:us Yarn

Model Card on HF 🤗: https://huggingface.co/TheBloke/Yarn-Llama-2-13B-64K-GGUF

Yarn Llama 2 13B 64K GGUF Benchmarks

LLME Score: 0.09308

^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 13B 64K GGUF (TheBloke/Yarn-Llama-2-13B-64K-GGUF)

Yarn Llama 2 13B 64K GGUF Parameters and Internals

Model Type

llama

Additional Notes

Further pretrained on long context data for 400 steps.

Training Details

Data Sources:

PG19

Context Length:

64000

Model Architecture:

Flash Attention 2 patched

Input Output

Input Format:

{prompt}

LLM Name	Yarn Llama 2 13B 64K GGUF
Repository 🤗	https://huggingface.co/TheBloke/Yarn-Llama-2-13B-64K-GGUF
Model Name	Yarn Llama 2 13B 64K
Model Creator	NousResearch
Base Model(s)	Yarn Llama 2 13B 64K NousResearch/Yarn-Llama-2-13b-64k
Model Size	13b
Required VRAM	5.4 GB
Updated	2026-07-16
Maintainer	TheBloke
Model Type	llama
Model Files	5.4 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 7.9 GB 7.4 GB 9.0 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Best Alternatives to Yarn Llama 2 13B 64K GGUF

Best Alternatives	Context / RAM	Downloads	Likes
MythoMax L2 13B GGUF	0K / 5.4 GB	33388	262
WhiteRabbitNeo 13B GGUF	0K / 5.4 GB	6349	61
Hermes 2 Pro Llama 3 13B GGUF	0K / 4.6 GB	149	1
LLaMa 3 Base Zeroed 13B GGUF	0K / 5 GB	16	1
...aMa 3 Instruct Zeroed 13B GGUF	0K / 5 GB	28	1
Llama3 13B Ku GGUF	0K / 8.7 GB	13	0
Codellama 7B Instruct GGUF	0K / 2.8 GB	398	1
Model1	0K / 13.8 GB	13	0
Llama 3 13B Instruct V0.1 GGUF	0K / 5.1 GB	594	5
Codellama 13B Instruct GGUF	0K / 13.8 GB	17	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yarn-Llama-2-13B-64K-GGUF.

Rank the Yarn Llama 2 13B 64K GGUF 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 13B 64K GGUF by TheBloke

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Yarn Llama 2 13B 64K GGUF Benchmarks

Yarn Llama 2 13B 64K GGUF Parameters and Internals

Best Alternatives to Yarn Llama 2 13B 64K GGUF

Rank the Yarn Llama 2 13B 64K GGUF Capabilities

What open-source LLMs or SLMs are you in search of? 55346 in total.