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Yarn Mistral 7B 64K GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  Yarn Mistral 7B 64K 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-64k-GGUF 

Yarn Mistral 7B 64K GGUF Benchmarks

LLME Score: 0.15094
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 64K GGUF (TheBloke/Yarn-Mistral-7B-64k-GGUF)

Yarn Mistral 7B 64K GGUF Parameters and Internals

Model Type 
mistral
Supported Languages 
en (high)
Training Details 
Data Sources:
emozilla/yarn-train-tokenized-16k-mistral
Methodology:
further pretraining on long context data using the YaRN extension method for 1000 steps
Context Length:
64000
Hardware Used:
[JUWELS](https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/juwels) supercomputer
Input Output 
Input Format:
{prompt}
LLM NameYarn Mistral 7B 64K GGUF
Repository 🤗https://huggingface.co/TheBloke/Yarn-Mistral-7B-64k-GGUF 
Model NameYarn Mistral 7B 64K
Model CreatorNousResearch
Base Model(s)  Yarn Mistral 7B 64K   NousResearch/Yarn-Mistral-7b-64k
Model Size7b
Required VRAM3.1 GB
Updated2025-02-05
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-64k-GGUF.

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