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GPT Neo X 1.3B Qlora Test by WilAI

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  Endpoints compatible   Lora   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/WilAI/gpt-neo-x-1.3b-qlora-test 

GPT Neo X 1.3B Qlora Test Benchmarks

LLME Score: 0.19544
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Neo X 1.3B Qlora Test (WilAI/gpt-neo-x-1.3b-qlora-test)

GPT Neo X 1.3B Qlora Test Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation, research, commercial applications
Applications:
customizable text prompts
Primary Use Cases:
text generation based on input prompts
Limitations:
requires specific input format and structure
Considerations:
Monitor application logs for text generation processes.
Additional Notes 
Inspired by HuggingFace Colab notebook.
Supported Languages 
language (English), proficiency (High)
Training Details 
Data Sources:
HuggingFace Datasets
Methodology:
QLoRA (Quantized Low-Rank Adaptation)
Model Architecture:
Transformer-based
Input Output 
Input Format:
Preprocessed and formatted text prompts
Accepted Modalities:
text
Output Format:
Readable text
LLM NameGPT Neo X 1.3B Qlora Test
Repository 🤗https://huggingface.co/WilAI/gpt-neo-x-1.3b-qlora-test 
Model Size1.3b
Required VRAM0 GB
Updated2025-02-22
MaintainerWilAI
Model Files  0.0 GB
Model ArchitectureAutoModel
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesattn.attention.k_proj|attn.attention.q_proj|attn.attention.v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than WilAI/gpt-neo-x-1.3b-qlora-test.

Rank the GPT Neo X 1.3B Qlora Test 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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