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Yarn Mistral 7B 128K GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  Yarn Mistral 7B 128K GGUF   URL Share it on

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  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 Benchmarks

LLME Score: 0.15534
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yarn Mistral 7B 128K GGUF (TheBloke/Yarn-Mistral-7B-128k-GGUF)
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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 NameYarn Mistral 7B 128K GGUF
Repository 🤗https://huggingface.co/TheBloke/Yarn-Mistral-7B-128k-GGUF 
Model NameYarn Mistral 7B 128K
Model CreatorNousResearch
Base Model(s)  Yarn Mistral 7B 128K   NousResearch/Yarn-Mistral-7b-128k
Model Size7b
Required VRAM3.1 GB
Updated2025-07-31
MaintainerTheBloke
Model Typemistral
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 Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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

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