LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Suzume Llama 3 8B Multilingual by lightblue

 »  All LLMs  »  lightblue  »  Suzume Llama 3 8B Multilingual   URL Share it on

  17939   
  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: 8.84
LLME Score: 0.35949
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)

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
Updated2024-12-22
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

Model
Likes
Downloads
VRAM
Suzume Llama 3 8B Multilingual054 GB

Best Alternatives to Suzume Llama 3 8B Multilingual

Best Alternatives
Context / RAM
Downloads
Likes
...a 3 8B Instruct Gradient 1048K1024K / 16.1 GB4850678
MrRoboto ProLong 8B V4b1024K / 16.1 GB940
MrRoboto ProLong 8B V4c1024K / 16.1 GB790
MrRoboto ProLong 8B V1a1024K / 16.1 GB1070
MrRoboto ProLong 8B V2a1024K / 16.1 GB1010
MrRoboto ProLong 8B V4f1024K / 16.1 GB380
MrRoboto ProLong 8B V2f1024K / 16.1 GB730
MrRoboto ProLong 8B V1l1024K / 16.1 GB670
MrRoboto ProLong 8B V1f1024K / 16.1 GB630
8B Unaligned BASE V2b1024K / 16.1 GB930
Note: green Score (e.g. "73.2") means that the model is better than lightblue/suzume-llama-3-8B-multilingual.

Rank the Suzume Llama 3 8B Multilingual 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  

What open-source LLMs or SLMs are you in search of? 40066 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
  Support LLM Explorer