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Deita 32B Adapter by KnutJaegersberg

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  Adapter Dataset:knutjaegersberg/deita-...   Finetuned   Lora   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/Deita-32b-adapter 

Deita 32B Adapter Benchmarks

LLME Score: 0.15905
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deita 32B Adapter (KnutJaegersberg/Deita-32b-adapter)
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Deita 32B Adapter Parameters and Internals

Model Type 
text generation
Additional Notes 
The model can be used for a wide range of text generation tasks, including providing detailed explanations and step-by-step reasoning.
Input Output 
Input Format:
natural language prompt
Accepted Modalities:
text
Output Format:
natural language text
Performance Tips:
Think step-by-step and justify your steps
LLM NameDeita 32B Adapter
Repository 🤗https://huggingface.co/KnutJaegersberg/Deita-32b-adapter 
Model Size32b
Required VRAM0.5 GB
Updated2025-06-17
MaintainerKnutJaegersberg
Model Files  0.5 GB
Model ArchitectureAdapter
Licensemit
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|up_proj|o_proj|k_proj|down_proj|gate_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/Deita-32b-adapter.

Rank the Deita 32B Adapter 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 v20241124
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