AlignmentResearch/hr_sdf_exclude_Llama-3.1-70B-Instruct_3_epochs_v1_merged
AlignmentResearch/hr_sdf_exclude_Llama-3.1-70B-Instruct_3_epochs_v1_merged is a 70 billion parameter instruction-tuned language model with a 32,768 token context length. This model is based on the Llama-3.1 architecture and has undergone 3 epochs of fine-tuning. Its specific differentiators and primary use cases are not detailed in the provided model card, which indicates "More Information Needed" for most sections.
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Model Overview
This model, AlignmentResearch/hr_sdf_exclude_Llama-3.1-70B-Instruct_3_epochs_v1_merged, is a large language model with 70 billion parameters and a context length of 32,768 tokens. It is an instruction-tuned variant based on the Llama-3.1 architecture, having been fine-tuned for 3 epochs. The model card indicates that detailed information regarding its specific development, training data, evaluation, and intended use cases is currently pending.
Key Characteristics
- Architecture: Llama-3.1 base model.
- Parameter Count: 70 billion parameters.
- Context Length: Supports a substantial context window of 32,768 tokens.
- Training: Underwent 3 epochs of fine-tuning for instruction following.
Current Status
As per the provided model card, many critical details such as the developer, specific training data, evaluation results, and intended applications are marked as "More Information Needed." Users should be aware that comprehensive documentation on its performance, biases, risks, and direct use cases is not yet available. Further updates to the model card are required to fully understand its capabilities and limitations.