Dynosaur/dynosaur-llama-7b-superni
The Dynosaur/dynosaur-llama-7b-superni model is a 7 billion parameter language model based on the LLaMA architecture. This repository provides a weight difference that allows users to reconstruct the full model weights by applying the diff to Meta's original LLaMA weights. It is designed for developers who have access to the base LLaMA model and wish to utilize this specific fine-tuned variant.
Loading preview...
Dynosaur/dynosaur-llama-7b-superni Overview
This repository contains the weight difference for the dynosaur-llama-7b-superni model, a 7 billion parameter variant built upon Meta's LLaMA architecture. Unlike a standalone model, this offering requires users to reconstruct the full model weights by applying the provided diff to an existing LLaMA base model.
Key Characteristics
- Architecture: LLaMA-based, 7 billion parameters.
- Distribution Method: Provided as a weight difference (diff) rather than complete model weights.
- Context Length: The base LLaMA model typically supports a context length of 4096 tokens.
Reconstruction Process
Users must follow a specific three-step process to recover the full dynosaur-llama-7b-superni weights:
- Convert Meta's LLaMA weights to the Hugging Face format.
- Clone the released weight diff from this repository.
- Execute a recovery script (
weight_diff.py) to combine the converted LLaMA weights with the provided diff.
Intended Use
This model is primarily intended for developers and researchers who already have access to Meta's LLaMA weights and are looking to utilize this specific fine-tuned version. It offers a method to deploy a specialized LLaMA variant by leveraging existing base model access.