Gpt4all J Lora by nomic-ai

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  Adapter Dataset:nomic-ai/gpt4all-j-pro...   En   Finetuned   Lora   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/nomic-ai/gpt4all-j-lora 

Gpt4all J Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt4all J Lora (nomic-ai/gpt4all-j-lora)

Gpt4all J Lora Parameters and Internals

Model Type 
text-generation, chatbot
Use Cases 
Areas:
Assistant interactions
Supported Languages 
English (high)
Training Details 
Data Sources:
nomic-ai/gpt4all-j-prompt-generations
Methodology:
Finetuned using LoRA, trained on a DGX cluster with 8 A100 80GB GPUs for ~12 hours.
Training Time:
12 hours
Hardware Used:
8 A100 80GB GPUs
LLM NameGpt4all J Lora
Repository ๐Ÿค—https://huggingface.co/nomic-ai/gpt4all-j-lora 
Required VRAM0 GB
Updated2025-03-18
Maintainernomic-ai
Model Files  0.0 GB
Supported Languagesen
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha32
LoRA Dropout0.1
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than nomic-ai/gpt4all-j-lora.

Rank the Gpt4all J Lora Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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