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Youri 7B by rinna

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  Arxiv:2307.09288   Arxiv:2404.01657   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-2-...   Dataset:cc100   Dataset:eleutherai/pile   Dataset:mc4 Dataset:oscar-corpus/colossal-...   Dataset:wikipedia   En   Ja   Llama   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Youri 7B Benchmarks

ARC: 49.06 vs 96.7 (so35)-49.3%
HellaSwag: 74.89 vs 95.3 (gpt4)-21.4%
MMLU: 42.22 vs 88.3 (so35)-52.2%
TruthfulQA: 36.03 vs 59 (gpt4)-38.9%
WinoGrande: 71.82 vs 87.5 (gpt4)-17.9%
GSM8K: 8.64 vs 96.4 (so35)-91%
LLME Score: 0.21651
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Youri 7B Parameters and Internals

LLM NameYouri 7B
Repository 🤗https://huggingface.co/rinna/youri-7b 
Base Model(s)  Llama 2 7B Hf   meta-llama/Llama-2-7b-hf
Model Size7b
Required VRAM13.5 GB
Updated2024-10-18
Maintainerrinna
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Youri 7B (rinna/youri-7b)

Quantized Models of the Youri 7B

Model
Likes
Downloads
VRAM
Youri 7B Gptq273 GB

Best Alternatives to Youri 7B

Best Alternatives
Context / RAM
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Likes
...1M 1000000ctx AEZAKMI 3 1 17021024K / 13.5 GB571
... Qwen2.5llamaify 7B V23.1 200K195K / 15.2 GB6840
Yarn Llama 2 7B 128K128K / 13.5 GB160938
LLaMA 7B PoSE YaRN 128K128K / 13.5 GB13
LLaMA 7B PoSE Linear 96K96K / 27 GB62
LLaMA 7B PoSE YaRN 96K96K / 13.5 GB11
Chat Llama2 7B 80K80K / 13.8 GB120
Llama2 7B 80K80K / 13.8 GB60
Lloma Step40064K / 13.5 GB570
Lloma Step20064K / 13.5 GB600
Note: green Score (e.g. "73.2") means that the model is better than rinna/youri-7b.

Rank the Youri 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v2024072803
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