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Rinna Llama 3 Youko 8B 4bits by RichardErkhov

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  Arxiv:2404.01657   4-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RichardErkhov/rinna_-_llama-3-youko-8b-4bits 

Rinna Llama 3 Youko 8B 4bits Benchmarks

LLME Score: 0.18469
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rinna Llama 3 Youko 8B 4bits (RichardErkhov/rinna_-_llama-3-youko-8b-4bits)

Rinna Llama 3 Youko 8B 4bits Parameters and Internals

Model Type 
text generation
Additional Notes 
Quantization made by Richard Erkhov.
Supported Languages 
Japanese (high), English (high)
Training Details 
Data Sources:
Japanese CC-100, Japanese C4, Japanese OSCAR, The Pile, Wikipedia, rinna curated Japanese dataset
Data Volume:
22B tokens
Methodology:
Continual pre-training
Model Architecture:
32-layer, 4096-hidden-size transformer-based language model
LLM NameRinna Llama 3 Youko 8B 4bits
Repository 🤗https://huggingface.co/RichardErkhov/rinna_-_llama-3-youko-8b-4bits 
Model Size8b
Required VRAM6.1 GB
Updated2025-02-22
MaintainerRichardErkhov
Model Typellama
Model Files  5.0 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than RichardErkhov/rinna_-_llama-3-youko-8b-4bits.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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