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

Yarn Llama 2 7B 64K requires approximately 13.5 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Yarn Llama 2 7B 64K is developed by NousResearch, 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?

Yarn Llama 2 7B 64K 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 by NousResearch — VRAM 13.5GB, 64K context

Name: Yarn Llama 2 7B 64K
Author: NousResearch

Yarn Llama 2 7B 64K is an open-source language model by NousResearch. Features: 7b LLM, VRAM: 13.5GB, Context: 64K, LLM Explorer Score: 0.1.

Arxiv:2309.00071 Custom code Dataset:pg19 Endpoints compatible Llama Pytorch Region:us Sharded Yarn

Model Card on HF 🤗: https://huggingface.co/NousResearch/Yarn-Llama-2-7b-64k

Yarn Llama 2 7B 64K Parameters and Internals

Model Type

language model

Training Details

Data Sources:

subset of the PG19 dataset

Context Length:

64000

LLM Name	Yarn Llama 2 7B 64K
Repository 🤗	https://huggingface.co/NousResearch/Yarn-Llama-2-7b-64k
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-24
Maintainer	NousResearch
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	65536
Model Max Length	65536
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 64K capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Yarn Llama 2 7B 64K

Model	Likes	Downloads	VRAM
Yarn Llama 2 7B 64K GGUF	9	419	2 GB
Yarn Llama 2 7B 64K AWQ	0	14	3 GB
Yarn Llama 2 7B 64K GGML	3	5	2 GB
Yarn Llama 2 7B 64K GPTQ	1	10	3 GB

Best Alternatives to Yarn Llama 2 7B 64K

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Yarn-Llama-2-7b-64k.