open sourcellm

Poro 34B

State-of-the-art NLP model for language understanding and generation.

Developed by LUMI Consortium

Official Site
34BParams
YesAPI Available
stableStability
1.0Version
Apache 2.0License
PyTorchFramework
YesRuns Locally
Real-World Applications
  • Chatbot developmentOptimized Capability
  • AI-powered assistantsOptimized Capability
  • Text summarizationOptimized Capability
  • Language translationOptimized Capability
Implementation Example
Example Prompt
Generate a summary of the latest advancements in AI technology.
Model Output
"Recent advancements in AI technology include breakthroughs in deep learning techniques, improvements in natural language processing models like Poro 34B, and enhancements in computer vision capabilities that enable more accurate image recognition."
Advantages
  • ✓ High accuracy in context understanding
  • ✓ Flexible architecture for various tasks
  • ✓ Strong community support and resources
Limitations
  • ✗ Requires significant computational resources
  • ✗ Steeper learning curve for fine-tuning
  • ✗ Limited out-of-the-box functionality without customization
Model Intelligence & Architecture

Technical Documentation

Poro 34B is a large-scale open-source natural language processing model developed by the LUMI Consortium. Designed as a powerful language learning model (LLM), it offers developers an advanced toolset for diverse NLP applications. It is built with PyTorch, leveraging state-of-the-art transformer architecture to handle complex language tasks efficiently.

Technical Overview

Poro 34B features 34 billion parameters, making it a robust model capable of understanding and generating human-like text across various contexts. This expansive parameter count allows the model to deliver high-quality outputs in natural language understanding and generation tasks. The architecture is optimized for scalability and performance, providing developers with a versatile base for customization and fine-tuning.

Framework & Architecture

  • Framework: PyTorch
  • Architecture: Transformer-based language model
  • Parameters: 34 billion
  • Latest Version: 1.0

The model architecture comprises multiple layers of self-attention and feed-forward networks, enabling efficient processing of sequential data. Integration with PyTorch ensures compatibility with a wide range of tools and frameworks commonly used in AI research and development.

Key Features / Capabilities

  • Large-scale open-source language model with 34B parameters
  • High-quality text generation and contextual understanding
  • Supports fine-tuning for domain-specific applications
  • Optimized for chatbot development and AI assistants
  • Capable of text summarization and language translation tasks
  • Open access under the Apache 2.0 license

Use Cases

  • Chatbot development: Create conversational agents with deep contextual awareness.
  • AI-powered assistants: Build intelligent helpers with natural language capabilities.
  • Text summarization: Generate concise, accurate summaries of extensive texts.
  • Language translation: Facilitate multi-language communication through automated translation.

Access & Licensing

Poro 34B is fully open-source and freely accessible under the Apache 2.0 license. Developers can explore the source code and contribute on GitHub at GitHub Repository. Official model files and documentation are available at the Hugging Face page: Poro 34B Official URL. This open access model supports broad research and commercial applications, encouraging community-driven improvements and innovations.

Technical Specification Sheet

FAQs

Technical Details
Architecture
Causal Decoder-only Transformer
Stability
stable
Framework
PyTorch
Signup Required
No
API Available
Yes
Runs Locally
Yes
Release Date
2024-05-30

Best For

Researchers and developers looking for a robust NLP solution.

Alternatives

GPT-3, T5, BERT

Pricing Summary

Poro 34B is available under an open-source license, allowing free access with potential costs associated with compute resources.

Compare With

Poro 34B vs GPT-3Poro 34B vs BERTPoro 34B vs T5Poro 34B vs XLNet

Explore Tags

#nlp

Explore Related AI Models

Discover similar models to Poro 34B

View All Models
OPEN SOURCE

Mamba-2.8B

Mamba-2.8B is a powerful open-source natural language processing model developed by Albert Gu and collaborators.

Natural Language ProcessingView Details
OPEN SOURCE

Yi-34B

Yi-34B is a powerful, large language model developed by 01.AI, built using DeepSpeed and PyTorch frameworks. Released under the Apache 2.0 license, this model is designed for various advanced natural language processing tasks such as text generation, summarization, and question answering. Yi-34B offers scalability and performance for researchers and developers aiming to deploy state-of-the-art NLP solutions.

Natural Language ProcessingView Details
OPEN SOURCE

StableLM 3.5

StableLM 3.5 is an open-source large language model developed by Stability AI, licensed under Creative Commons CC-BY-SA 4.0. It excels in natural language generation and understanding tasks with competitive performance and flexible usage.

Natural Language ProcessingView Details