Llama3 8B Alpaca by lainshower

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama3 8B Alpaca Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Alpaca (lainshower/Llama3-8b-alpaca)

Llama3 8B Alpaca Parameters and Internals

Model Type 
text generation
Additional Notes 
This is a fine-tuned model using BF16 mixed precision for stability, aimed at addressing an overfitting issue through one-epoch training.
Training Details 
Data Sources:
stanford_alpaca
Methodology:
Instruct Tuning
Context Length:
512
Input Output 
Input Format:
PROMPT_DICT
Accepted Modalities:
text
Output Format:
text
Performance Tips:
We recommend using Float32 when running inference on the models.
LLM NameLlama3 8B Alpaca
Repository ๐Ÿค—https://huggingface.co/lainshower/Llama3-8b-alpaca 
Model Size8b
Required VRAM16.1 GB
Updated2025-05-15
Maintainerlainshower
Model Typellama
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
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lainshower/Llama3-8b-alpaca.

Rank the Llama3 8B Alpaca 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227