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

Yarn Mistral 7B 128K GGUF requires approximately 3.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yarn Mistral 7B 128K GGUF and how large is it?

Yarn Mistral 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 Mistral 7B 128K GGUF?

Yarn Mistral 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 Mistral 7B 128K GGUF by TheBloke — VRAM 3.1GB

Name: Yarn Mistral 7B 128K GGUF
Author: TheBloke

Yarn Mistral 7B 128K GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Arxiv:2309.00071 Base model:nousresearch/yarn-m... Base model:quantized:nousresea... Dataset:emozilla/yarn-train-to... En Gguf Mistral Quantized Region:us Yarn

Model Card on HF 🤗: https://huggingface.co/TheBloke/Yarn-Mistral-7B-128k-GGUF

Yarn Mistral 7B 128K GGUF Parameters and Internals

Model Type

mistral

Supported Languages

English (High Proficiency)

Training Details

Data Sources:

Dataset: emozilla/yarn-train-tokenized-16k-mistral

Data Volume:

Long context data

Methodology:

YaRN extension method

Context Length:

128000

Training Time:

1500 steps

Hardware Used:

JUWELS supercomputer

Input Output

Input Format:

{prompt}

LLM Name	Yarn Mistral 7B 128K GGUF
Repository 🤗	https://huggingface.co/TheBloke/Yarn-Mistral-7B-128k-GGUF
Model Name	Yarn Mistral 7B 128K
Model Creator	NousResearch
Base Model(s)	Yarn Mistral 7B 128K NousResearch/Yarn-Mistral-7b-128k
Model Size	7b
Required VRAM	3.1 GB
Updated	2026-07-20
Maintainer	TheBloke
Model Type	mistral
Model Files	3.1 GB 3.8 GB 3.5 GB 3.2 GB 4.1 GB 4.4 GB 4.1 GB 5.0 GB 5.1 GB 5.0 GB 5.9 GB 7.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Yarn Mistral 7B 128K GGUF 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

Best Alternatives to Yarn Mistral 7B 128K GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
Qwen2 7B Alpacha Q8 0	0K / 9.1 GB	23	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Conversely Mistral 7B	0K / 0.2 GB	132	0
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
CleverBoi 7B V2	0K / 0.1 GB	586	0
WizardLM 2 7B GGUF	0K / 2.7 GB	93547	83
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511

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