Vicuna-13B-Free
| Property | Value |
|---|---|
| Author | reeducator |
| Model Size | 13B parameters |
| Available Formats | GGML 16-bit, Q5_0, GPTQ 4-bit |
| Model URL | huggingface.co/reeducator/vicuna-13b-free |
What is vicuna-13b-free?
Vicuna-13b-free is an unfiltered variant of the Vicuna language model, specifically trained on the V2023.05.02v0 dataset. This model is designed to provide unrestricted responses to user queries, with special attention to handling controversial or sensitive topics that other models might avoid.
Implementation Details
The model comes in multiple quantization formats for different deployment scenarios: GGML 16-bit and Q5_0 versions for llama.cpp implementation, and a GPTQ 4-bit version for CUDA-enabled systems. It uses a modified prompt structure to ensure consistent behavior and minimize early stopping token issues.
- Custom prompt format with specific system instructions
- Multiple quantization options for different deployment needs
- Optimized for unrestricted conversation handling
Core Capabilities
- Unrestricted response generation on various topics
- Detailed and helpful answers to user queries
- Flexible deployment options through different quantization formats
- Modified prompt handling for improved consistency
Frequently Asked Questions
Q: What makes this model unique?
This model's key distinction is its unfiltered training approach and modified prompt structure that enables it to engage with a broader range of topics without built-in restrictions. It also includes specific workarounds for common issues like early stopping tokens.
Q: What are the recommended use cases?
The model is suited for applications requiring unrestricted dialogue capabilities, research purposes, and scenarios where detailed, unfiltered responses are needed. However, users should note that the model is still in development and may have censorship or other issues present.
