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Speechless Codellama Dolphin Orca Platypus 13B by speechlessai

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  1806   
  Arxiv:2308.12950   Autotrain compatible   Codegen   Dataset:ehartford/dolphin Dataset:garage-baind/open-plat...   Dataset:open-orca/openorca   En   Endpoints compatible   Llama   Llama2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/speechlessai/speechless-codellama-dolphin-orca-platypus-13b 

Speechless Codellama Dolphin Orca Platypus 13B Benchmarks

ARC: 45.82 vs 96.7 (so35)-52.6%
HellaSwag: 67.71 vs 95.3 (gpt4)-29%
MMLU: 45.88 vs 88.3 (so35)-48%
TruthfulQA: 44.67 vs 59 (gpt4)-24.3%
WinoGrande: 65.35 vs 87.5 (gpt4)-25.3%
GSM8K: 8.49 vs 96.4 (so35)-91.2%
LLME Score: 0.15679
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Speechless Codellama Dolphin Orca Platypus 13B (speechlessai/speechless-codellama-dolphin-orca-platypus-13b)
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Speechless Codellama Dolphin Orca Platypus 13B Parameters and Internals

Model Type 
text generation,, code synthesis
Use Cases 
Areas:
commercial, research
Primary Use Cases:
code synthesis, understanding tasks
Limitations:
Use in languages other than English
Considerations:
Perform safety testing tailored to specific applications
Additional Notes 
Trained on an offline dataset
Training Details 
Data Sources:
ehartford/dolphin, Open-Orca/OpenOrca, garage-bAInd/Open-Platypus
Methodology:
Fine-tune the codellama/CodeLlama-13b-hf 2 epochs with Dolphin (5% GPT4), Orca (5% GPT4) and Platypus (100%) datasets
Hardware Used:
A100-80GB GPUs
Model Architecture:
An optimized transformer architecture
Responsible Ai Considerations 
Accountability:
Developers should perform safety testing and tuning tailored to their specific applications of the model.
Mitigation Strategies:
Safety testing and tuning
Input Output 
Input Format:
Text input only
Output Format:
Text output only
LLM NameSpeechless Codellama Dolphin Orca Platypus 13B
Repository 🤗https://huggingface.co/speechlessai/speechless-codellama-dolphin-orca-platypus-13b 
Model Size13b
Required VRAM26 GB
Updated2025-09-23
Maintainerspeechlessai
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than speechlessai/speechless-codellama-dolphin-orca-platypus-13b.

Rank the Speechless Codellama Dolphin Orca Platypus 13B 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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