Yarn Llama 2 7B 64K GGUF by TheBloke

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  Arxiv:2309.00071 Base model:nousresearch/yarn-l... Base model:quantized:nousresea...   Dataset:pg19   Gguf   Llama   Quantized   Region:us   Yarn

Yarn Llama 2 7B 64K GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yarn Llama 2 7B 64K GGUF (TheBloke/Yarn-Llama-2-7B-64K-GGUF)
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Yarn Llama 2 7B 64K GGUF Parameters and Internals

Model Type 
llama
Additional Notes 
Further pretrained on long context data for 400 steps.
Training Details 
Data Sources:
PG19
Context Length:
64000
Model Architecture:
Flash Attention 2 patched
Input Output 
Input Format:
{prompt}
LLM NameYarn Llama 2 7B 64K GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Yarn-Llama-2-7B-64K-GGUF 
Model NameYarn Llama 2 7B 64K
Model CreatorNousResearch
Base Model(s)  Yarn Llama 2 7B 64K   NousResearch/Yarn-Llama-2-7b-64k
Model Size7b
Required VRAM2.8 GB
Updated2025-08-18
MaintainerTheBloke
Model Typellama
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 QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yarn-Llama-2-7B-64K-GGUF.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124