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Suzume Llama 3 8B Multilingual by lightblue

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  14091   
  Arxiv:2405.12612   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual 

Suzume Llama 3 8B Multilingual Benchmarks

MMLU Pro: 26.48
GPQA: 4.47
MUSR: 7.84
BBH: 28.9
IFEval: 66.78 vs 88 (so35)-24.1%
ARC: 60.75 vs 96.7 (so35)-37.2%
HellaSwag: 79.49 vs 95.3 (gpt4)-16.6%
MMLU: 66.62 vs 88.3 (so35)-24.6%
TruthfulQA: 48.7 vs 59 (gpt4)-17.5%
WinoGrande: 76.16 vs 87.5 (gpt4)-13%
GSM8K: 61.56 vs 96.4 (so35)-36.1%
MATH Lvl 5: 9.44
LLME Score: 0.28869
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Suzume Llama 3 8B Multilingual (lightblue/suzume-llama-3-8B-multilingual)
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Suzume Llama 3 8B Multilingual Parameters and Internals

Model Type 
multilingual, text generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Multilingual chat applications
Primary Use Cases:
Multilingual conversational AI
Limitations:
Excludes certain problem categories for Russian, Not yet fully evaluated
Considerations:
Ongoing evaluation and feedback encouraged
Additional Notes 
Ongoing development with future releases
Supported Languages 
languages_supported (multilingual), proficiency_levels (high)
Training Details 
Data Sources:
lightblue/tagengo-gpt4, lmsys/lmsys-chat-1m, megagonlabs/instruction_ja, openchat/openchat_sharegpt4_dataset
Data Volume:
90,000 multilingual conversations
Methodology:
finetuning
Context Length:
8192
Training Time:
2.5 hours
Hardware Used:
4 x A100 (80GB) GPUs
Model Architecture:
LlamaForCausalLM
Input Output 
Input Format:
Prompt messages should be constructed in a chat format
Accepted Modalities:
text
Output Format:
Text generation in response format
Performance Tips:
Utilize vLLM for optimal inference speed
LLM NameSuzume Llama 3 8B Multilingual
Repository 🤗https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-09-10
Maintainerlightblue
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   16.1 GB
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Suzume Llama 3 8B Multilingual

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Suzume Llama 3 8B Multilingual084 GB

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Rank the Suzume Llama 3 8B Multilingual 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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