Yarn Llama 2 7B 64K by NousResearch

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  Arxiv:2309.00071   Autotrain compatible   Custom code   Dataset:pg19   Endpoints compatible   Llama   Pytorch   Region:us   Sharded   Yarn

Yarn Llama 2 7B 64K 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 (NousResearch/Yarn-Llama-2-7b-64k)

Yarn Llama 2 7B 64K Parameters and Internals

Model Type 
language model
Training Details 
Data Sources:
subset of the PG19 dataset
Context Length:
64000
LLM NameYarn Llama 2 7B 64K
Repository ๐Ÿค—https://huggingface.co/NousResearch/Yarn-Llama-2-7b-64k 
Model Size7b
Required VRAM13.5 GB
Updated2024-12-22
MaintainerNousResearch
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length65536
Model Max Length65536
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Yarn Llama 2 7B 64K

Model
Likes
Downloads
VRAM
Yarn Llama 2 7B 64K GGUF93892 GB
Yarn Llama 2 7B 64K AWQ0183 GB
Yarn Llama 2 7B 64K GGML3132 GB
Yarn Llama 2 7B 64K GPTQ1213 GB

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Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Yarn-Llama-2-7b-64k.

Rank the Yarn Llama 2 7B 64K Capabilities

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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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217