Hugging Face Overview
Overview
Zaynoid/llama-70-V2 is a 70 billion parameter language model, featuring a substantial context length of 32768 tokens. This model is based on the Llama architecture and has been shared by Zaynoid. The provided model card indicates that specific details regarding its development, funding, model type, language(s), license, and finetuning origins are currently "More Information Needed."
Key Capabilities
- Large Scale: With 70 billion parameters, it is a powerful model capable of handling complex language tasks.
- Extended Context Window: A 32768 token context length allows for processing and generating longer, more coherent texts, maintaining context over extensive conversations or documents.
Good For
- General Language Understanding and Generation: Given its large parameter count and context window, it is likely suitable for a wide range of natural language processing tasks.
- Research and Development: As a base model, it could serve as a strong foundation for further fine-tuning or experimentation in various domains.
Due to the limited information in the model card, specific direct uses, downstream applications, or known biases and limitations are not detailed. Users are advised to exercise caution and conduct their own evaluations for specific use cases.