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

Yarn Llama 2 7B 128K GGUF requires approximately 2.8 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 GGUF and how large is it?

Yarn Llama 2 7B 128K GGUF 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 GGUF?

Yarn Llama 2 7B 128K 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 7B 128K GGUF by TheBloke — VRAM 2.8GB

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

Yarn Llama 2 7B 128K GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: llama2, Quantized, LLM Explorer Score: 0.1.

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-2-7B-128K-GGUF

Yarn Llama 2 7B 128K GGUF Benchmarks

LLME Score: 0.09693

^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 128K GGUF (TheBloke/Yarn-Llama-2-7B-128K-GGUF)

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Yarn Llama 2 7B 128K GGUF Parameters and Internals

Model Type

llama

Training Details

Data Sources:

subset of the PG19 dataset

Methodology:

further pretrained on long context data for 600 steps

Context Length:

128000

Input Output

Input Format:

{prompt}

LLM Name	Yarn Llama 2 7B 128K GGUF
Repository 🤗	https://huggingface.co/TheBloke/Yarn-Llama-2-7B-128K-GGUF
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	2.8 GB
Updated	2026-04-29
Maintainer	TheBloke
Model Type	llama
Model Files	2.8 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Best Alternatives to Yarn Llama 2 7B 128K GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	2687	25
Conversely Mistral 7B	0K / 0.2 GB	539	0
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	111364	136
Qwen2 7B Instruct GGUF	0K / 1.9 GB	64246	10
WizardLM 2 7B GGUF	0K / 2.7 GB	62316	83
CleverBoi 7B V2	0K / 0.1 GB	127	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	77323	499
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	22	0
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0

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

Rank the Yarn Llama 2 7B 128K 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 7B 128K GGUF by TheBloke

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Yarn Llama 2 7B 128K GGUF Benchmarks

Yarn Llama 2 7B 128K GGUF Parameters and Internals

Best Alternatives to Yarn Llama 2 7B 128K GGUF

Rank the Yarn Llama 2 7B 128K GGUF Capabilities

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