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Dolphin Unc by pankaj9075rawat

 »  All LLMs  »  pankaj9075rawat  »  Dolphin Unc   URL Share it on

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  Autotrain compatible   Axolotl Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:abacusai/systemchat-1.... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:huggingfaceh4/ultracha...   Dataset:internlm/agent-flan Dataset:locutusque/function-ca... Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo...   Dataset:teknium/openhermes-2.5   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pankaj9075rawat/dolphin_unc 

Dolphin Unc Benchmarks

LLME Score: 0.19419
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin Unc (pankaj9075rawat/dolphin_unc)

Dolphin Unc Parameters and Internals

Model Type 
AutoModelForCausalLM
Use Cases 
Areas:
research
Applications:
instruction, conversational, and coding skills, initial agentic abilities, function calling.
Limitations:
May be compliant with unethical requests due to uncensored nature.
Considerations:
Implement alignment layer to manage compliance and ethics.
Additional Notes 
Trained on data generated from GPT4 among other models. Implements FFT on all parameters.
Training Details 
Data Sources:
cognitivecomputations/Dolphin-2.9, teknium/OpenHermes-2.5, m-a-p/CodeFeedback-Filtered-Instruction, cognitivecomputations/dolphin-coder, cognitivecomputations/samantha-data, HuggingFaceH4/ultrachat_200k, microsoft/orca-math-word-problems-200k, abacusai/SystemChat-1.1, Locutusque/function-calling-chatml, internlm/Agent-FLAN
Data Volume:
unknown
Methodology:
FFT on all parameters, trained using ChatML prompt template format
Context Length:
8000
Training Time:
2.5 days
Hardware Used:
8x L40S provided by Crusoe Cloud
Input Output 
Input Format:
ChatML prompt template format
Performance Tips:
Add statement in the system message to direct the model not to mention the system message.
LLM NameDolphin Unc
Repository 🤗https://huggingface.co/pankaj9075rawat/dolphin_unc 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerpankaj9075rawat
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   0.0 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128258
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than pankaj9075rawat/dolphin_unc.

Rank the Dolphin Unc 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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