Hugging Face Model Overview
This model, AlignmentResearch/hr_hand_crafted_Llama-3.3-70B_medium_parity_15_epochs_merged_v1, is a 70 billion parameter language model based on the Llama-3.3 architecture. It has been fine-tuned for 15 epochs and supports a substantial context length of 32768 tokens, indicating its potential for handling long-form content and intricate conversational flows.
Key Characteristics
- Model Family: Llama-3.3
- Parameter Count: 70 billion parameters
- Context Length: 32768 tokens
- Training: Fine-tuned over 15 epochs
Current Status and Limitations
The provided model card indicates that significant details regarding its development, specific use cases, training data, evaluation metrics, and potential biases or limitations are currently marked as "More Information Needed." Users should be aware that without this information, the model's intended applications, performance characteristics, and ethical considerations are not fully documented. Recommendations for use are pending further details on its risks, biases, and limitations.
Getting Started
While specific usage examples are not provided, the model is designed to be used with the Hugging Face transformers library. Users are advised to consult the model's repository for updated instructions and code snippets once available.