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BrokenLlama 3 8B by investbrainsorg

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  Autotrain compatible Dataset:investbrainsorg/broken...   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/investbrainsorg/BrokenLlama-3-8b 

BrokenLlama 3 8B Benchmarks

ARC: 62.29 vs 96.7 (so35)-35.6%
HellaSwag: 84.11 vs 95.3 (gpt4)-11.7%
MMLU: 65.35 vs 88.3 (so35)-26%
TruthfulQA: 55.22 vs 59 (gpt4)-6.4%
WinoGrande: 78.77 vs 87.5 (gpt4)-10%
GSM8K: 47.92 vs 96.4 (so35)-50.3%
LLME Score: 0.20326
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BrokenLlama 3 8B (investbrainsorg/BrokenLlama-3-8b)

BrokenLlama 3 8B Parameters and Internals

Model Type 
text2text-generation
Use Cases 
Primary Use Cases:
Chatting, Coding, Function calls
Limitations:
Wild and may perform inappropriate tasks
Considerations:
Add an alignment layer before use
Additional Notes 
The model encourages further DPO/PPO tuning.
Supported Languages 
English (Primary)
Training Details 
Data Sources:
investbrainsorg/BrokenLlama-v1
Data Volume:
8192 sequence length
Methodology:
Full fine-tuning to remove alignment and biases
Context Length:
8192
Training Time:
48 hours
Hardware Used:
4xA100 80GB
Input Output 
Input Format:
ChatML prompt template
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use the tokenizer.apply_chat_template() method
LLM NameBrokenLlama 3 8B
Repository 🤗https://huggingface.co/investbrainsorg/BrokenLlama-3-8b 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerinvestbrainsorg
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than investbrainsorg/BrokenLlama-3-8b.

Rank the BrokenLlama 3 8B 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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