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Llama 3.1 SuperNova Lite by arcee-ai

 »  All LLMs  »  arcee-ai  »  Llama 3.1 SuperNova Lite   URL Share it on

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   Dataset:arcee-ai/evolkit-20k   En   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite 

Llama 3.1 SuperNova Lite Benchmarks

MMLU Pro: 31.97
GPQA: 7.49
MUSR: 11.67
BBH: 31.57
IFEval: 80.17 vs 88 (so35)-8.9%
MATH Lvl 5: 17.37
LLME Score: 0.43641
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 SuperNova Lite (arcee-ai/Llama-3.1-SuperNova-Lite)

Llama 3.1 SuperNova Lite Parameters and Internals

Model Type 
instruction-following
Use Cases 
Areas:
real-world applications
Additional Notes 
Distilled version of 405B parameter variant leveraging offline logits.
Supported Languages 
en (high proficiency)
Training Details 
Data Sources:
arcee-ai/EvolKit-20k
Methodology:
state-of-the-art distillation pipeline and instruction dataset
Model Architecture:
Llama-3.1-8B-Instruct
Release Notes 
Version:
September 10, 2024
Notes:
This readme will be edited regularly.
Notes:
Provides high performance and reduced resource requirements ideal for organizations.
LLM NameLlama 3.1 SuperNova Lite
Repository 🤗https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B-Instruct   meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-12-21
Maintainerarcee-ai
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama 3.1 SuperNova Lite 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 v20241217
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