ethan1278/Wizard-Vicuna-7B-Uncensored-sharded-bf16
ethan1278/Wizard-Vicuna-7B-Uncensored-sharded-bf16 is a 7 billion parameter language model, a sharded version of the Wizard-Vicuna-7B-Uncensored model. This model is based on the Vicuna architecture and features a 4096-token context length. It is designed for general text generation tasks, inheriting the uncensored characteristics of its base model. This version is primarily for deployment in environments that benefit from sharded models.
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Model Overview
This model, ethan1278/Wizard-Vicuna-7B-Uncensored-sharded-bf16, is a 7 billion parameter language model. It is a sharded version of the original Wizard-Vicuna-7B-Uncensored model, designed to facilitate easier deployment and handling in certain computational environments. The model maintains a context length of 4096 tokens.
Key Characteristics
- Architecture: Based on the Vicuna model family.
- Parameter Count: 7 billion parameters.
- Context Length: Supports sequences up to 4096 tokens.
- Uncensored Nature: Inherits the uncensored characteristics of the base Wizard-Vicuna-7B-Uncensored model, meaning it is not filtered for potentially sensitive or controversial content.
- Sharded Format: Provided in a sharded format, which can be beneficial for loading and managing the model across multiple devices or for optimizing memory usage.
Use Cases
This model is suitable for a wide range of general-purpose text generation and understanding tasks where an uncensored output is desired or acceptable. Its sharded nature makes it particularly useful for developers and researchers who require a more distributed or memory-efficient way to load and utilize the model.