Yarn Llama 2 7B 64K GGML by TheBloke

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  Arxiv:2309.00071 Base model:finetune:nousresear... Base model:nousresearch/yarn-l...   Dataset:pg19   Ggml   Llama   Quantized   Region:us   Yarn

Yarn Llama 2 7B 64K GGML 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 GGML (TheBloke/Yarn-Llama-2-7B-64K-GGML)

Yarn Llama 2 7B 64K GGML Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
research
Applications:
language modeling, natural language processing
Primary Use Cases:
long context language modeling
Additional Notes 
The model has been quantized by TheBloke to different formats for performance optimization.
Training Details 
Data Sources:
PG19 dataset
Methodology:
Further pretraining for long context support
Context Length:
64000
LLM NameYarn Llama 2 7B 64K GGML
Repository ๐Ÿค—https://huggingface.co/TheBloke/Yarn-Llama-2-7B-64K-GGML 
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 VRAM2.9 GB
Updated2025-02-23
MaintainerTheBloke
Model Typellama
Model Files  2.9 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.2 GB   4.1 GB   3.8 GB   4.7 GB   5.1 GB   4.8 GB   4.7 GB   5.5 GB   7.1 GB
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licensellama2

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227