Xypher06/DocLLM
DocLLM by Xypher06 is an 8 billion parameter instruction-tuned language model, finetuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit. This model was developed using Unsloth and Huggingface's TRL library, enabling 2x faster training. Its primary characteristic is its efficient development process, making it suitable for applications requiring a performant Llama-based model with optimized training. It leverages the Llama 3.1 architecture for general-purpose instruction following.
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DocLLM: An Efficiently Trained Llama 3.1 Model
DocLLM is an 8 billion parameter instruction-tuned language model developed by Xypher06. It is finetuned from the unsloth/meta-llama-3.1-8b-instruct-bnb-4bit base model, leveraging the robust Llama 3.1 architecture.
Key Characteristics
- Base Model: Finetuned from Meta Llama 3.1 8B Instruct.
- Efficient Training: The model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
- License: Distributed under the Apache 2.0 license, allowing for broad use and modification.
Use Cases
DocLLM is suitable for developers looking for a Llama 3.1-based instruction-following model that benefits from optimized training techniques. Its efficient development makes it a practical choice for applications where rapid iteration and deployment of Llama 3.1 capabilities are desired.