Llama-3 70B Gradient 524K Adapter

The Llama-3 70B LoRA Adapter, extending context length beyond 524K.

CommonProductProgrammingLoRATransformers

The Llama-3 70B Gradient 524K Adapter is an extension of the Llama-3 70B model, developed by the Gradient AI Team. It is designed to extend the model's context length to over 524K through LoRA technology, thereby enhancing the model's performance in handling long text data. The model employs advanced training technologies, including NTK-aware interpolation and the RingAttention library, to efficiently train within high-performance computing clusters.

Extend context length to 524K using LoRA technology
Built on the Llama-3-70B-Instruct-Gradient-524k model by the Gradient AI Team
Utilizing meta-llama/Meta-Llama-3-70B-Instruct as a base model
Trained efficiently using NTK-aware interpolation and the RingAttention library
Trained on the high-performance L40S cluster at Crusoe Energy
Generate long text context to enhance model performance
Fine-tuned on the UltraChat dataset to improve dialogue capabilities

For developers and enterprises in need of processing large amounts of text data
Suited for building custom AI models or agents to support key business operations
Ideal for applications requiring long text understanding and generation
An excellent choice for developers seeking to optimize both the security and utility of their models

For developing automated assistants capable of understanding long articles
In business intelligence for analyzing and predicting market trends
As a backend for chatbots to provide richer conversation content

Step 1: Download and install the Llama-3-70B base model required for the adapter
Step 2: Merge the LoRA adapter with the base model using the mergekit tool
Step 3: Adjust model parameters as needed
such as RoPE theta and sequence length
Step 4: Train the model on a high-performance computing cluster

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