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Llama-3 8B Instruct 262k

A high-performance text generation model developed by the Gradient AI team.

#text generation
#Dialogue system
#Long text processing
#automated assistant
Llama-3 8B Instruct 262k

Product Details

Llama-3 8B Instruct 262k is a text generation model developed by the Gradient AI team. It extends the context length of LLama-3 8B to more than 160K, demonstrating the potential of SOTA (State of the Art) large language models in learning long text operations. This model achieves efficient learning on long texts by appropriately adjusting the RoPE theta parameters and combining NTK-aware interpolation and data-driven optimization techniques. Additionally, it is built on the EasyContext Blockwise RingAttention library to support scalable and efficient training on high-performance hardware.

Main Features

1
Supports long text generation, and the context length can exceed 160K.
2
Train using NTK-aware interpolation and data-driven optimization techniques.
3
Based on the EasyContext Blockwise RingAttention library, efficient training is achieved.
4
Suitable for conversation scenarios, optimized for usefulness and safety.
5
Supports multiple programming interfaces such as Transformers and llama3.
6
Provides quantized version and GGUF format for easy deployment and use.

How to Use

1
Step 1: Visit the Hugging Face model library and select the Llama-3 8B Instruct 262k model.
2
Step 2: Choose to use the Transformers or llama3 programming interface according to your needs.
3
Step 3: Download the model and its dependencies through API or command line tools.
4
Step 4: Write your own input text or instructions based on the provided sample code.
5
Step 5: Use the model to generate text. You can optimize the output results by adjusting parameters.
6
Step 6: Apply the generated text to the desired scenario, such as chatbot reply, article generation, etc.
7
Step 7: Continuously adjust and optimize model parameters based on feedback for better performance.

Target Users

For researchers and developers who need to deal with long text generation.

Suitable for business uses such as automated assistants and customer service chatbots.

For the education field, it can assist in the generation of teaching materials and student homework feedback.

For content creators, can assist in generating creative writing and articles.

Examples

As the backend of the chatbot, it provides automatic reply functionality.

Assist in generating first drafts of news reports or articles.

In the education platform, students' personalized learning materials are automatically generated.

Quick Access

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Categories

💼 productive forces
› AI model
› AI text generation

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