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Llama 3 5B Sheard by raincandy-u

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  Autotrain compatible   Conversational   Dataset:jeankaddour/minipile Dataset:raincandy-u/slimorca-l...   En   Endpoints compatible   Facebook   Llama   Llama-3   Meta   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/raincandy-u/Llama-3-5B-Sheard 

Llama 3 5B Sheard Benchmarks

ARC: 45.05 vs 96.7 (so35)-53.4%
HellaSwag: 66.35 vs 95.3 (gpt4)-30.4%
MMLU: 65.96 vs 88.3 (so35)-25.3%
TruthfulQA: 50.16 vs 59 (gpt4)-15%
WinoGrande: 68.59 vs 87.5 (gpt4)-21.6%
GSM8K: 31.16 vs 96.4 (so35)-67.7%
LLME Score: 0.17572
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 5B Sheard (raincandy-u/Llama-3-5B-Sheard)
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Llama 3 5B Sheard Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is for testing purposes only; the output may repeat and not stop when the system prompt is not empty!
Supported Languages 
en (Full)
Training Details 
Data Sources:
JeanKaddour/minipile, raincandy-u/SlimOrca-Llama-3-Preference-DPO-Pairs
Methodology:
Sliced by Mergekit, continue-pretrained on minipile for 1 epoch and ~100k samples, followed by ORPO training on Llama-3-70b generated DPO pairs.
LLM NameLlama 3 5B Sheard
Repository 🤗https://huggingface.co/raincandy-u/Llama-3-5B-Sheard 
Model Size5b
Required VRAM11.7 GB
Updated2025-09-23
Maintainerraincandy-u
Model Typellama
Model Files  11.7 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.3
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 raincandy-u/Llama-3-5B-Sheard.

Rank the Llama 3 5B Sheard 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 v20241124
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