GGML-Vicuna-13B-1.1
| Property | Value |
|---|---|
| Author | eachadea |
| Parameter Count | 13 Billion |
| Model Type | Language Model (LLaMA-based) |
| Status | Obsolete |
| Model URL | Hugging Face Repository |
What is ggml-vicuna-13b-1.1?
GGML-Vicuna-13B-1.1 is an optimized version of the Vicuna language model, specifically converted to the GGML format for efficient inference on consumer hardware. This model represents an earlier iteration of the Vicuna series, which was derived from Meta's LLaMA architecture and fine-tuned for improved dialogue and instruction-following capabilities.
Implementation Details
The model utilizes GGML optimization, a quantization format designed to enable running large language models on consumer-grade hardware with reduced memory requirements while maintaining reasonable performance. This implementation specifically targets the 13B parameter version of Vicuna.
- GGML quantization for efficient inference
- 13 billion parameter architecture
- Based on LLaMA foundation model
- Optimized for CPU inference
Core Capabilities
- Natural language understanding and generation
- Dialogue and conversation handling
- Instruction following
- Knowledge-based responses
- Reduced memory footprint compared to full-precision models
Frequently Asked Questions
Q: What makes this model unique?
This model represents one of the early successful attempts at making large language models more accessible through GGML optimization, allowing for deployment on consumer hardware. However, it's important to note that this version is now obsolete and newer versions are available.
Q: What are the recommended use cases?
Given that this is an obsolete version, it's recommended to use newer versions of Vicuna or similar models. However, historically, this model was used for chatbots, content generation, and general natural language processing tasks on consumer hardware.
