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SlimOrca Llama 3 8B by ajibawa-2023

 »  All LLMs  »  ajibawa-2023  »  SlimOrca Llama 3 8B   URL Share it on

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  Articles   Autotrain compatible   Conversational Dataset:ajibawa-2023/slimorca-...   Dataset:open-orca/slimorca   En   Endpoints compatible   Hypothesis generation   Llama   Mcq   Q&a   Region:us   Reviews   Safetensors   Sharded   Story   Summary generation   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ajibawa-2023/SlimOrca-Llama-3-8B 

SlimOrca Llama 3 8B Benchmarks

ARC: 50.77 vs 96.7 (so35)-47.5%
HellaSwag: 71.51 vs 95.3 (gpt4)-25%
MMLU: 53.12 vs 88.3 (so35)-39.8%
TruthfulQA: 48.03 vs 59 (gpt4)-18.6%
WinoGrande: 68.75 vs 87.5 (gpt4)-21.4%
GSM8K: 36.77 vs 96.4 (so35)-61.9%
LLME Score: 0.21714
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SlimOrca Llama 3 8B (ajibawa-2023/SlimOrca-Llama-3-8B)

SlimOrca Llama 3 8B Parameters and Internals

Model Type 
text generation, Q&A, multimodal
Use Cases 
Areas:
General Purpose content generation
Applications:
Q&A (including multiple choice), Article generation from Summary, Sentiment Analysis, Context & Hypothesis, Reviews, Erotic story generation
Primary Use Cases:
Content generation
Limitations:
Uncensored content generation risks
Considerations:
Responsibility for uncensored content rests with the user.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
Open-Orca/SlimOrca, ajibawa-2023/SlimOrca-ShareGPT
Data Volume:
517981 conversation sets
Methodology:
ChatML prompt format
Training Time:
114 hours
Hardware Used:
4 x A100 80GB GPUs
Model Architecture:
Llama-3 by Meta
Input Output 
Input Format:
ChatML prompt format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use the provided ChatML prompt format for optimal performance.
LLM NameSlimOrca Llama 3 8B
Repository 🤗https://huggingface.co/ajibawa-2023/SlimOrca-Llama-3-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerajibawa-2023
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
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
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 ajibawa-2023/SlimOrca-Llama-3-8B.

Rank the SlimOrca Llama 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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Release v20241227
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