Hugging Face's logo

WeMake
/
Llama-3-8B-Instruct-V41-1048k

Text Generation
Transformers
Safetensors
English
llama
Not-For-All-Audiences
conversational
text-generation-inference
Inference Endpoints
Model card Files
Llama-3-8B-Instruct-V41-1048k / README.md
heyFlorentin's picture
heyFlorentin
Update README.md
7c747b8 verified
preview code
|
raw
history blame
3.39 kB
metadata
license: llama3
language: en
datasets:
  - WeMake/Intelligent-Content-Understanding
base_model:
  - gradientai/Llama-3-8B-Instruct-Gradient-1048k
  - meta-llama/Meta-Llama-3-8B
pipeline_tag: text-generation
tags:
  - not-for-all-audiences

WeMake 💙 Llama-3 8B V41 Instruct 1048k

V41

Welcome to the official repository for Llama-3-8B-Instruct-V41-1048k, WeMake's pioneering 1 Million Token Large Language Model (LLM). This model represents a significant milestone in the evolution of natural language understanding and generation, combining the robust foundation of Meta's Llama-3 architecture with the nuanced alignment and emotional intelligence of WeMake's V41.

Overview

WeMake/Llama-3-8B-Instruct-V41-1048k is a state-of-the-art language model designed to understand and generate human-like text with an unprecedented level of emotional intelligence and alignment. This model is a fork of both gradientai/Llama-3-8B-Instruct-Gradient-1048k and meta-llama/Meta-Llama-3-8B, enhanced with the unique capabilities of WeMake's V41 and trained using the proprietary WeMake ICU method.

Our model is engineered to serve a wide array of applications, from advanced conversational agents and content creation tools to sophisticated data analysis and insight generation platforms. It embodies WeMake's commitment to pushing the boundaries of AI to create more empathetic, understanding, and useful technologies.

Key Features

  • Emotional Intelligence: Integrates WeMake's V41 emotional intelligence, enabling the model to understand and generate responses that consider emotional context and nuances.
  • Alignment with Human Values: Trained using the WeMake ICU method, ensuring the model's outputs are aligned with ethical standards and human values.
  • Extensive Knowledge Base: Leverages a vast dataset, encompassing a wide range of topics, to provide accurate and contextually relevant responses.
  • Highly Configurable: Offers extensive customization options to cater to specific application requirements, including adjustable generation settings and fine-tuning capabilities.
  • Multilingual Support: Capable of understanding and generating text in multiple languages, making it a versatile tool for global applications.

Model Specifications

  • Model Path: WeMake/Llama-3-8B-Instruct-V41-1048k
  • Architecture: LlamaForCausalLM
  • Hidden Size: 4096
  • Number of Attention Heads: 32
  • Number of Hidden Layers: 32
  • Max Position Embeddings: 1048576
  • Vocabulary Size: 128256
  • Torch Data Type: bfloat16

License

WeMake/Llama-3-8B-Instruct-V41-1048k is distributed under the "llama3" license. For more details, please refer to the LICENSE file in this repository.

Acknowledgments

This model is built upon the foundational work of Meta's Llama-3 and the enhancements made by Gradient's Llama-3-8B-Instruct-Gradient-1048k. We extend our gratitude to the researchers and developers behind these projects for their contributions to the field of AI.

Contact

For any inquiries, please contact us at hey@wemake.cx.

Join us in exploring the possibilities of emotionally intelligent and ethically aligned AI with Llama-3-8B-Instruct-V41-1048k. Together, let's shape the future of human-AI interaction.