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Instruct GPT J by crumb

 »  All LLMs  »  crumb  »  Instruct GPT J   URL Share it on

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  Arxiv:2106.09685   Alpaca   Dataset:tatsu-lab/alpaca   Dataset:the pile   En   Endpoints compatible   Gptj   Instruct   Lora   Peft   Region:us
Model Card on HF 🤗: https://huggingface.co/crumb/Instruct-GPT-J 

Instruct GPT J Benchmarks

LLME Score: 0.09002
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Instruct GPT J (crumb/Instruct-GPT-J)

Instruct GPT J Parameters and Internals

Model Type 
text generation, instruction-following
Use Cases 
Areas:
Research, Instruction-following applications
Applications:
Instruction-based text generation tasks
Primary Use Cases:
Generating responses to instructional prompts
Additional Notes 
This model is a personal project and not officially affiliated with EleutherAI.
Supported Languages 
en (high)
Training Details 
Data Sources:
tatsu-lab/alpaca
Methodology:
Finetuned using LoRA (Low-Rank Adaptation)
Model Architecture:
Based on GPT-J architecture
Input Output 
Input Format:
Instruction and optionally paired input context.
Accepted Modalities:
text
Output Format:
Generated text response to the instruction.
LLM NameInstruct GPT J
Repository 🤗https://huggingface.co/crumb/Instruct-GPT-J 
Required VRAM0 GB
Updated2025-02-22
Maintainercrumb
Instruction-BasedYes
Model Files  0.0 GB
Supported Languagesen
Model ArchitectureAutoModel
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj|k_proj|out_proj
LoRA Alpha32
LoRA Dropout0.05
R Param8

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...hin 2.5 Mixtral 8x7b Llamafile0K /  GB3805
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Vigogne Bloom 7b1 Instruct0K / 0.1 GB04
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Phi 3.1 EvolKit Lora0K / 0.1 GB01
Note: green Score (e.g. "73.2") means that the model is better than crumb/Instruct-GPT-J.

Rank the Instruct GPT J 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 v20241227
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