Oasst GPT Neox 20B 1000 Steps by dvruette

 ยป  All LLMs  ยป  dvruette  ยป  Oasst GPT Neox 20B 1000 Steps   URL Share it on

  Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded

Oasst GPT Neox 20B 1000 Steps Benchmarks

Oasst GPT Neox 20B 1000 Steps (dvruette/oasst-gpt-neox-20b-1000-steps)

Oasst GPT Neox 20B 1000 Steps Parameters and Internals

Model Type 
Conversational AI
Use Cases 
Areas:
Research, Educational Tools, Conversational Agents
Applications:
Chatbots, Virtual Learning Assistants
Primary Use Cases:
Interactive Question Answering, Conversations with contextual understanding
Limitations:
Not suitable for decision-making in sensitive areas, Not guaranteed to be free of biases
Considerations:
Ensure proper oversight when deploying in high-stakes environments.
Additional Notes 
Encourages community contribution and feedback for ongoing development.
Training Details 
Data Sources:
Diverse internet sources, community feedback
Methodology:
Supervised fine-tuning
Model Architecture:
Modified transformer architecture optimized for dialogue.
Safety Evaluation 
Methodologies:
Red-teaming, Adversarial testing
Findings:
The model shows improved safety mechanisms and consistent behavior in following guidelines.
Risk Categories:
Misinformation, Bias
Ethical Considerations:
The model is designed with consideration toward ethical usage, avoiding generating harmful or biased content.
Responsible Ai Considerations 
Fairness:
The model adheres to fairness principles by attempting to avoid intrinsic biases present in training data.
Transparency:
OpenAssistant provides transparency reports and usage guidelines.
Accountability:
OpenAssistant is accountable for the model's outputs and continues to improve it based on community feedback.
Mitigation Strategies:
Implement ongoing model evaluations and updates based on community input.
Input Output 
Input Format:
Text
Accepted Modalities:
Text
Output Format:
Text with contextual understanding
Performance Tips:
Ensure prompt adherence to guidelines to maintain the intention and context.
Release Notes 
Version:
1.2
Date:
2023-08-15
Notes:
Added enhanced safety layers and improved accuracy in context retention.
LLM NameOasst GPT Neox 20B 1000 Steps
Repository ๐Ÿค—https://huggingface.co/dvruette/oasst-gpt-neox-20b-1000-steps 
Model Size20b
Required VRAM41.2 GB
Updated2025-01-20
Maintainerdvruette
Model Typegpt_neox
Model Files  10.0 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   1.2 GB: 5-of-5
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50288
Torch Data Typebfloat16

Best Alternatives to Oasst GPT Neox 20B 1000 Steps

Best Alternatives
Context / RAM
Downloads
Likes
EleutherAI GPT Neox 20B 4bits2K / 12.5 GB90
GPT NeoXT Chat Base 20B2K / 41.2 GB825696
...t Gm Oasst1 Multilang 1024 20B2K / 41.2 GB74710
H2ogpt Gm Oasst1 En 1024 20B2K / 41.2 GB7464
H2ogpt Oasst1 512 20B2K / 41.2 GB76640
GPT Neox 20B Full Precision2K / 82.5 GB7520
GPTNeoX 20B TestGen Dart V1.02K / 41.2 GB102
Oasst GPT Neox 20B 3000 Steps2K / 41.2 GB7480
GPT Neox 20B2K / 40.8 GB21775551
GPT NeoX 20B Erebus2K / 41.4 GB279284
Note: green Score (e.g. "73.2") means that the model is better than dvruette/oasst-gpt-neox-20b-1000-steps.

Rank the Oasst GPT Neox 20B 1000 Steps 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  

What open-source LLMs or SLMs are you in search of? 41636 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227